New Soft Computing Techniques For System Modeling Pattern Classification And Image Processing

Download New Soft Computing Techniques For System Modeling Pattern Classification And Image Processing full books in PDF, epub, and Kindle. Read online New Soft Computing Techniques For System Modeling Pattern Classification And Image Processing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing

Author : Leszek Rutkowski
Publisher : Springer
ISBN 13 : 354040046X
Total Pages : 376 pages
Book Rating : 4.5/5 (44 download)

DOWNLOAD NOW!

Book Synopsis New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing by : Leszek Rutkowski

Download or read book New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing written by Leszek Rutkowski and published by Springer. This book was released on 2013-03-09 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Science has made great progress in the twentieth century, with the establishment of proper disciplines in the fields of physics, computer science, molecular biology, and many others. At the same time, there have also emerged many engineering ideas that are interdisciplinary in nature, beyond the realm of such orthodox disciplines. These in clude, for example, artificial intelligence, fuzzy logic, artificial neural networks, evolutional computation, data mining, and so on. In or der to generate new technology that is truly human-friendly in the twenty-first century, integration of various methods beyond specific disciplines is required. Soft computing is a key concept for the creation of such human friendly technology in our modern information society. Professor Rutkowski is a pioneer in this field, having devoted himself for many years to publishing a large variety of original work. The present vol ume, based mostly on his own work, is a milestone in the devel opment of soft computing, integrating various disciplines from the fields of information science and engineering. The book consists of three parts, the first of which is devoted to probabilistic neural net works. Neural excitation is stochastic, so it is natural to investi gate the Bayesian properties of connectionist structures developed by Professor Rutkowski. This new approach has proven to be par ticularly useful for handling regression and classification problems vi Preface in time-varying environments. Throughout this book, major themes are selected from theoretical subjects that are tightly connected with challenging applications.

Soft Computing Approach to Pattern Recognition and Image Processing

Author : Ashish Ghosh
Publisher : World Scientific
ISBN 13 : 9789812776235
Total Pages : 374 pages
Book Rating : 4.7/5 (762 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing Approach to Pattern Recognition and Image Processing by : Ashish Ghosh

Download or read book Soft Computing Approach to Pattern Recognition and Image Processing written by Ashish Ghosh and published by World Scientific. This book was released on 2002 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a collection of sixteen articles containing review and new material. In a unified way, they describe the recent development of theories and methodologies in pattern recognition, image processing and vision using fuzzy logic, artificial neural networks, genetic algorithms, rough sets and wavelets with significant real life applications. The book details the theory of granular computing and the role of a rough-neuro approach as a way of computing with words and designing intelligent recognition systems. It also demonstrates applications of the soft computing paradigm to case based reasoning, data mining and bio-informatics with a scope for future research. The contributors from around the world present a balanced mixture of current theory, algorithms and applications, making the book an extremely useful resource for students and researchers alike. Contents: Pattern Recognition: Multiple Classifier Systems; Building Decision Trees from the Fourier Spectrum of a Tree Ensemble; Clustering Large Data Sets; Multi-objective Variable String Genetic Classifier: Application to Remote Sensing Imagery; Image Processing and Vision: Dissimilarity Measures Between Fuzzy Sets or Fuzzy Structures; Early Vision: Concepts and Algorithms; Self-organizing Neural Network for Multi-level Image Segmentation; Geometric Transformation by Moment Method with Wavelet Matrix; New Computationally Efficient Algorithms for Video Coding; Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning; Granular Computing and Case Based Reasoning: Towards Granular Multi-agent Systems; Granular Computing and Pattern Recognition; Case Base Maintenance: A Soft Computing Perspective; Real Life Applications: Autoassociative Neural Network Models for Pattern Recognition Tasks in Speech and Image; Protein Structure Prediction Using Soft Computing; Pattern Classification for Biological Data Mining. Readership: Upper level undergraduates, graduates, researchers, academics and industrialists.

Pattern Recognition in Soft Computing Paradigm

Author : Nikhil R. Pal
Publisher : World Scientific
ISBN 13 : 9812811699
Total Pages : 411 pages
Book Rating : 4.8/5 (128 download)

DOWNLOAD NOW!

Book Synopsis Pattern Recognition in Soft Computing Paradigm by : Nikhil R. Pal

Download or read book Pattern Recognition in Soft Computing Paradigm written by Nikhil R. Pal and published by World Scientific. This book was released on 2001 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern recognition (PR) consists of three important tasks: feature analysis, clustering and classification. Image analysis can also be viewed as a PR task. Feature analysis is a very important step in designing any useful PR system because its effectiveness depends heavily on the set of features used to realise the system. A distinguishing feature of this volume is that it deals with all three aspects of PR, namely feature analysis, clustering and classifier design. It also encompasses image processing methodologies and image retrieval with subjective information. The other interesting aspect of the volume is that it covers all three major facets of soft computing: fuzzy logic, neural networks and evolutionary computing. Contents: Dimensionality Reduction Techniques for Interactive Visualization, Exploratory Data Analysis, and Classification (A KAnig); Feature Selection by Artificial Neural Network for Pattern Classification (B Chakraborty); A New Clustering with Estimation of Cluster Number Based on Genetic Algorithm (K Imai et al.); Minimizing the Measurement Cost in the Classification of New Samples by Neural-Network-Based Classifiers (H Ishibuchi & M Nii); Extraction of Fuzzy Rules from Numerical Data for Classifiers (N R Pal & A Sarkar); A Texture Image Segmentation Method Using Neural Networks and Binary Features (J Zhang & S Oe); Image Retrieval System Based on Subjective Information (K Yoshida et al.); and other papers. Readership: Graduate students, researchers and lecturers in pattern recognition and image analysis."

Artificial Intelligence and Soft Computing – ICAISC 2008

Author : Leszek Rutkowski
Publisher : Springer
ISBN 13 : 3540697314
Total Pages : 1269 pages
Book Rating : 4.5/5 (46 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Soft Computing – ICAISC 2008 by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing – ICAISC 2008 written by Leszek Rutkowski and published by Springer. This book was released on 2008-06-19 with total page 1269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008, held in Zakopane, Poland, in June 2008. The 116 revised contributed papers presented were carefully reviewed and selected from 320 submissions. The papers are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, classification, rule discovery and clustering, image analysis, speech and robotics, bioinformatics and medical applications, various problems of artificial intelligence, and agent systems.

Computational Intelligence Paradigms in Advanced Pattern Classification

Author : Marek R. Ogiela
Publisher : Springer
ISBN 13 : 3642240496
Total Pages : 199 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence Paradigms in Advanced Pattern Classification by : Marek R. Ogiela

Download or read book Computational Intelligence Paradigms in Advanced Pattern Classification written by Marek R. Ogiela and published by Springer. This book was released on 2012-01-13 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection, advanced image filtration and intelligent multi-object labelling and classification. It is directed to the scientists, application engineers, professors, professors and students will find this book useful.

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

Author : Marcin Mrugalski
Publisher : Springer
ISBN 13 : 3319015478
Total Pages : 182 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis by : Marcin Mrugalski

Download or read book Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis written by Marcin Mrugalski and published by Springer. This book was released on 2013-08-04 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems. A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered. All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.

Theory and Applications of Ordered Fuzzy Numbers

Author : Piotr Prokopowicz
Publisher : Springer
ISBN 13 : 3319596144
Total Pages : 322 pages
Book Rating : 4.3/5 (195 download)

DOWNLOAD NOW!

Book Synopsis Theory and Applications of Ordered Fuzzy Numbers by : Piotr Prokopowicz

Download or read book Theory and Applications of Ordered Fuzzy Numbers written by Piotr Prokopowicz and published by Springer. This book was released on 2017-10-18 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY 4.0 license. This open access book offers comprehensive coverage on Ordered Fuzzy Numbers, providing readers with both the basic information and the necessary expertise to use them in a variety of real-world applications. The respective chapters, written by leading researchers, discuss the main techniques and applications, together with the advantages and shortcomings of these tools in comparison to other fuzzy number representation models. Primarily intended for engineers and researchers in the field of fuzzy arithmetic, the book also offers a valuable source of basic information on fuzzy models and an easy-to-understand reference guide to their applications for advanced undergraduate students, operations researchers, modelers and managers alike.

Artificial Intelligence and Soft Computing

Author : Leszek Rutkowski
Publisher : Springer
ISBN 13 : 364238658X
Total Pages : 637 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Soft Computing by : Leszek Rutkowski

Download or read book Artificial Intelligence and Soft Computing written by Leszek Rutkowski and published by Springer. This book was released on 2013-06-04 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 7894 and LNCS 7895 constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2013, held in Zakopane, Poland in June 2013. The 112 revised full papers presented together with one invited paper were carefully reviewed and selected from 274 submissions. The 57 papers included in the first volume are organized in the following topical sections: neural networks and their applications; fuzzy systems and their applications; pattern classification; and computer vision, image and speech analysis.

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

Author : Patricia Melin
Publisher : Springer Science & Business Media
ISBN 13 : 3642045154
Total Pages : 258 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition by : Patricia Melin

Download or read book Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition written by Patricia Melin and published by Springer Science & Business Media. This book was released on 2009-09-30 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.

Soft Computing Models in Industrial and Environmental Applications

Author : Václav Snášel
Publisher : Springer Science & Business Media
ISBN 13 : 3642329225
Total Pages : 548 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing Models in Industrial and Environmental Applications by : Václav Snášel

Download or read book Soft Computing Models in Industrial and Environmental Applications written by Václav Snášel and published by Springer Science & Business Media. This book was released on 2012-08-23 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2012, held in the beautiful and historic city of Ostrava (Czech Republic), in September 2012. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the SOCO 2012 International Program Committee selected 75 papers which are published in these conference proceedings, and represents an acceptance rate of 38%. In this relevant edition a special emphasis was put on the organization of special sessions. Three special sessions were organized related to relevant topics as: Soft computing models for Control Theory & Applications in Electrical Engineering, Soft computing models for biomedical signals and data processing and Advanced Soft Computing Methods in Computer Vision and Data Processing. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the SOCO conference would not exist without their help.

Flexible Neuro-Fuzzy Systems

Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
ISBN 13 : 1402080433
Total Pages : 279 pages
Book Rating : 4.4/5 (2 download)

DOWNLOAD NOW!

Book Synopsis Flexible Neuro-Fuzzy Systems by : Leszek Rutkowski

Download or read book Flexible Neuro-Fuzzy Systems written by Leszek Rutkowski and published by Springer Science & Business Media. This book was released on 2006-04-18 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering.

Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011

Author : Emilio Corchado
Publisher : Springer Science & Business Media
ISBN 13 : 3642196446
Total Pages : 624 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 by : Emilio Corchado

Download or read book Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 written by Emilio Corchado and published by Springer Science & Business Media. This book was released on 2011-03-04 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2011 held in the beautiful and historic city of Salamanca, Spain, April 2011. This volume presents the papers accepted for the 2011 edition, both for the main event and the Special Sessions. SOCO 2011 Special Sessions are a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participating community. Four special sessions were organized related to relevant topics as: Optimization and Control in Industry, Speech Processing and Soft Computing, Systems, Man & Cybernetics and Soft Computing for Medical Applications.

Neural Networks and Soft Computing

Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
ISBN 13 : 3790819026
Total Pages : 935 pages
Book Rating : 4.7/5 (98 download)

DOWNLOAD NOW!

Book Synopsis Neural Networks and Soft Computing by : Leszek Rutkowski

Download or read book Neural Networks and Soft Computing written by Leszek Rutkowski and published by Springer Science & Business Media. This book was released on 2013-03-20 with total page 935 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents new trends and developments in soft computing techniques. Topics include: neural networks, fuzzy systems, evolutionary computation, knowledge discovery, rough sets, and hybrid methods. It also covers various applications of soft computing techniques in economics, mechanics, medicine, automatics and image processing. The book contains contributions from internationally recognized scientists, such as Zadeh, Bubnicki, Pawlak, Amari, Batyrshin, Hirota, Koczy, Kosinski, Novák, S.-Y. Lee, Pedrycz, Raudys, Setiono, Sincak, Strumillo, Takagi, Usui, Wilamowski and Zurada. An excellent overview of soft computing methods and their applications.

Grade Models and Methods for Data Analysis

Author : Teresa Kowalczyk
Publisher : Springer
ISBN 13 : 3540399283
Total Pages : 483 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Grade Models and Methods for Data Analysis by : Teresa Kowalczyk

Download or read book Grade Models and Methods for Data Analysis written by Teresa Kowalczyk and published by Springer. This book was released on 2012-12-06 with total page 483 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis and therefore aiming both at researchers, students, as well as applied practitioners. The text is richly illustrated through examples and case studies and includes a short introduction to software implementing grade methods, which can be downloaded from the editors.

Short-Term Load Forecasting 2019

Author : Antonio Gabaldón
Publisher : MDPI
ISBN 13 : 303943442X
Total Pages : 324 pages
Book Rating : 4.0/5 (394 download)

DOWNLOAD NOW!

Book Synopsis Short-Term Load Forecasting 2019 by : Antonio Gabaldón

Download or read book Short-Term Load Forecasting 2019 written by Antonio Gabaldón and published by MDPI. This book was released on 2021-02-26 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.

Parallel Processing and Applied Mathematics

Author : Roman Wyrzykowski
Publisher : Springer
ISBN 13 : 3642314643
Total Pages : 765 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Parallel Processing and Applied Mathematics by : Roman Wyrzykowski

Download or read book Parallel Processing and Applied Mathematics written by Roman Wyrzykowski and published by Springer. This book was released on 2012-07-03 with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume-set (LNCS 7203 and 7204) constitutes the refereed proceedings of the 9th International Conference on Parallel Processing and Applied Mathematics, PPAM 2011, held in Torun, Poland, in September 2011. The 130 revised full papers presented in both volumes were carefully reviewed and selected from numerous submissions. The papers address issues such as parallel/distributed architectures and mobile computing; numerical algorithms and parallel numerics; parallel non-numerical algorithms; tools and environments for parallel/distributed/grid computing; applications of parallel/distributed computing; applied mathematics, neural networks and evolutionary computing; history of computing.

Soft Computing for Recognition based on Biometrics

Author : Patricia Melin
Publisher : Springer
ISBN 13 : 3642151116
Total Pages : 456 pages
Book Rating : 4.6/5 (421 download)

DOWNLOAD NOW!

Book Synopsis Soft Computing for Recognition based on Biometrics by : Patricia Melin

Download or read book Soft Computing for Recognition based on Biometrics written by Patricia Melin and published by Springer. This book was released on 2010-09-30 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: We describe in this book, bio-inspired models and applications of hybrid intel- gent systems using soft computing techniques for image analysis and pattern r- ognition based on biometrics and other information sources. 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 classification methods and applications, which are basically papers that propose new models for classification to solve general pr- lems and applications. The second part contains papers with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques, like modular neural networks, for achieving pattern r- ognition based on biometric measures. The third part contains papers with the theme of bio-inspired optimization methods and applications to diverse problems. The fourth part contains papers that deal with general theory and algorithms of bio-inspired methods, like neural networks and evolutionary algorithms. The fifth part contains papers on computer vision applications of soft computing methods. In the part of classification methods and applications there are 5 papers that - scribe different contributions on fuzzy logic and bio-inspired models with appli- tion in classification for medical images and other data.