New Backpropagation Algorithm With Type 2 Fuzzy Weights For Neural Networks

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New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

Author : Fernando Gaxiola
Publisher : Springer
ISBN 13 : 3319340875
Total Pages : 111 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks by : Fernando Gaxiola

Download or read book New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks written by Fernando Gaxiola and published by Springer. This book was released on 2016-06-02 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weight adaptation and especially fuzzy weights.The internal operation of the neuron is changed to work with two internal calculations for the activation function to obtain two results as outputs of the proposed method. Simulation results and a comparative study among monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the advantages of the proposed method.The proposed approach is based on recent methods that handle adaptation of weights using fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the Mackey-Glass (for ô=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation approach obtains better behavior and tolerance to noise than the other methods.The optimization algorithms that were used are the genetic algorithm and the particle swarm optimization algorithm and the purpose of applying these methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest prediction error.

Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Author : Lotfi A. Zadeh
Publisher : Springer
ISBN 13 : 3319754084
Total Pages : 623 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Recent Developments and the New Direction in Soft-Computing Foundations and Applications by : Lotfi A. Zadeh

Download or read book Recent Developments and the New Direction in Soft-Computing Foundations and Applications written by Lotfi A. Zadeh and published by Springer. This book was released on 2018-05-28 with total page 623 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fostering new research directions in the diverse areas of soft computing.

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Author : Patricia Melin
Publisher : Springer
ISBN 13 : 3319177478
Total Pages : 612 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization by : Patricia Melin

Download or read book Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization written by Patricia Melin and published by Springer. This book was released on 2015-06-12 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.

Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Author : Oscar Castillo
Publisher : Springer
ISBN 13 : 3319051709
Total Pages : 702 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Recent Advances on Hybrid Approaches for Designing Intelligent Systems by : Oscar Castillo

Download or read book Recent Advances on Hybrid Approaches for Designing Intelligent Systems written by Oscar Castillo and published by Springer. This book was released on 2014-03-26 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Recent Advances on Hybrid Intelligent Systems

Author : Oscar Castillo
Publisher : Springer
ISBN 13 : 3642330215
Total Pages : 558 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Recent Advances on Hybrid Intelligent Systems by : Oscar Castillo

Download or read book Recent Advances on Hybrid Intelligent Systems written by Oscar Castillo and published by Springer. This book was released on 2012-09-14 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Nature-Inspired Design of Hybrid Intelligent Systems

Author : Patricia Melin
Publisher : Springer
ISBN 13 : 331947054X
Total Pages : 817 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Nature-Inspired Design of Hybrid Intelligent Systems by : Patricia Melin

Download or read book Nature-Inspired Design of Hybrid Intelligent Systems written by Patricia Melin and published by Springer. This book was released on 2016-12-08 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

Advances in Computational Intelligence

Author : Ildar Batyrshin
Publisher : Springer
ISBN 13 : 364237798X
Total Pages : 492 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Advances in Computational Intelligence by : Ildar Batyrshin

Download or read book Advances in Computational Intelligence written by Ildar Batyrshin and published by Springer. This book was released on 2013-03-21 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7629 and LNAI 7630 constitutes the refereed proceedings of the 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, held in San Luis Potosí, Mexico, in October/November 2012. The 80 revised papers presented were carefully reviewed and selected from 224 submissions. The second volume includes 40 papers focusing on soft computing. The papers are organized in the following topical sections: natural language processing; evolutionary and nature-inspired metaheuristic algorithms; neural networks and hybrid intelligent systems; fuzzy systems and probabilistic models in decision making.

Soft Computing Applications in Optimization, Control, and Recognition

Author : Patricia Melin
Publisher : Springer
ISBN 13 : 3642353231
Total Pages : 341 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Soft Computing Applications in Optimization, Control, and Recognition by : Patricia Melin

Download or read book Soft Computing Applications in Optimization, Control, and Recognition written by Patricia Melin and published by Springer. This book was released on 2012-12-14 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing techniques to intelligent control, pattern recognition, and optimization problems. The book is organized in four main parts. The first part deals with nature-inspired optimization methods and their applications. Papers included in this part propose new models for achieving intelligent optimization in different application areas. The second part discusses hybrid intelligent systems for achieving control. Papers included in this part make use of nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for the optimal design of intelligent controllers for different kind of applications. Papers in the third part focus on intelligent techniques for pattern recognition and propose new methods to solve complex pattern recognition problems. The fourth part discusses new theoretical concepts and methods for the application of soft computing to many different areas, such as natural language processing, clustering and optimization.

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

Author : Jonathan Amezcua
Publisher : Springer
ISBN 13 : 3319737732
Total Pages : 78 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic by : Jonathan Amezcua

Download or read book New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic written by Jonathan Amezcua and published by Springer. This book was released on 2018-02-05 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic architectures, having the classes with the highest degree of similarity in different modules. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil. Both datasets show interesting features that makes them interesting for testing new classification methods.

Type-2 Fuzzy Neural Networks and Their Applications

Author : Rafik Aziz Aliev
Publisher : Springer
ISBN 13 : 3319090720
Total Pages : 203 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Type-2 Fuzzy Neural Networks and Their Applications by : Rafik Aziz Aliev

Download or read book Type-2 Fuzzy Neural Networks and Their Applications written by Rafik Aziz Aliev and published by Springer. This book was released on 2014-09-08 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination with other paradigms of Soft Computing technology such as Neuro-Computing and Evolutionary Computing. It provides a self-contained exposition of the foundation of type-2 fuzzy neural networks and presents a vast compendium of its applications to control, forecasting, decision making, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students of universities and colleges, for scientists and practitioners from various fields such as control, decision analysis, pattern recognition and similar fields.

Intelligent Systems'2014

Author : P. Angelov
Publisher : Springer
ISBN 13 : 3319113135
Total Pages : 842 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Intelligent Systems'2014 by : P. Angelov

Download or read book Intelligent Systems'2014 written by P. Angelov and published by Springer. This book was released on 2014-09-23 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set of books constitutes the proceedings of the 2014 7th IEEE International Conference Intelligent Systems (IS), or IEEE IS’2014 for short, held on September 24–26, 2014 in Warsaw, Poland. Moreover, it contains some selected papers from the collocated IWIFSGN'2014 ‐ Thirteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets. The conference was organized by theSystems Research Institute, Polish Academy of Sciences, Department IV of Engineering Sciences, Polish Academy of Sciences, and Industrial Institute of Automation and Measurements – PIAP. The papers included in the two proceedings volumes have been subject to a thorough review process by three highly qualified peer reviewers.Comments and suggestions from them have considerable helped improve the quality of the papers but also the division of the volumes into parts, and assignment of the papers to the best suited parts.

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

Author : Oscar Castillo
Publisher : Springer
ISBN 13 : 3319710087
Total Pages : 535 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications by : Oscar Castillo

Download or read book Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications written by Oscar Castillo and published by Springer. This book was released on 2018-01-10 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.

Complex Systems: Solutions and Challenges in Economics, Management and Engineering

Author : Christian Berger-Vachon
Publisher : Springer
ISBN 13 : 331969989X
Total Pages : 543 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Complex Systems: Solutions and Challenges in Economics, Management and Engineering by : Christian Berger-Vachon

Download or read book Complex Systems: Solutions and Challenges in Economics, Management and Engineering written by Christian Berger-Vachon and published by Springer. This book was released on 2017-10-31 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an authoritative collection of contributions reporting on fuzzy logic and decision theory, together with applications and case studies in economics and management science. Dedicated to Professor Jaume Gil Aluja in recognition of his pioneering work, the book reports on theories, methods and new challenges, thus offering not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike.

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications

Author : Oscar Castillo
Publisher : Springer Nature
ISBN 13 : 3030354458
Total Pages : 792 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications by : Oscar Castillo

Download or read book Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications written by Oscar Castillo and published by Springer Nature. This book was released on 2020-02-27 with total page 792 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.

A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

Author : Camilo Caraveo
Publisher : Springer
ISBN 13 : 3030055515
Total Pages : 57 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature by : Camilo Caraveo

Download or read book A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature written by Camilo Caraveo and published by Springer. This book was released on 2018-12-30 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator–prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.

Advances in Neural Networks - ISNN 2007

Author : Derong Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3540723927
Total Pages : 1345 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advances in Neural Networks - ISNN 2007 by : Derong Liu

Download or read book Advances in Neural Networks - ISNN 2007 written by Derong Liu and published by Springer Science & Business Media. This book was released on 2007-05-24 with total page 1345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation The three volume set LNCS 4491/4492/4493 constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. The 262 revised long papers and 192 revised short papers presented were carefully reviewed and selected from a total of 1.975 submissions. The papers are organized in topical sections on neural fuzzy control, neural networks for control applications, adaptive dynamic programming and reinforcement learning, neural networks for nonlinear systems modeling, robotics, stability analysis of neural networks, learning and approximation, data mining and feature extraction, chaos and synchronization, neural fuzzy systems, training and learning algorithms for neural networks, neural network structures, neural networks for pattern recognition, SOMs, ICA/PCA, biomedical applications, feedforward neural networks, recurrent neural networks, neural networks for optimization, support vector machines, fault diagnosis/detection, communications and signal processing, image/video processing, and applications of neural networks.

International Conference on Innovative Computing and Communications

Author : Deepak Gupta
Publisher : Springer Nature
ISBN 13 : 9811928215
Total Pages : 793 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis International Conference on Innovative Computing and Communications by : Deepak Gupta

Download or read book International Conference on Innovative Computing and Communications written by Deepak Gupta and published by Springer Nature. This book was released on 2022-09-26 with total page 793 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.