Special Issue On Engineering Applications Of Artificial Neural Networks

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Artificial Neural Networks for Engineering Applications

Author : Alma Y Alanis
Publisher : Academic Press
ISBN 13 : 0128182474
Total Pages : 176 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Neural Networks for Engineering Applications by : Alma Y Alanis

Download or read book Artificial Neural Networks for Engineering Applications written by Alma Y Alanis and published by Academic Press. This book was released on 2019-02-13 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and more. Readers will find different methodologies to solve various problems, including complex nonlinear systems, cellular computational networks, waste water treatment, attack detection on cyber-physical systems, control of UAVs, biomechanical and biomedical systems, time series forecasting, biofuels, and more. Besides the real-time implementations, the book contains all the theory required to use the proposed methodologies for different applications.

Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications

Author : Zhang, Ming
Publisher : IGI Global
ISBN 13 : 1615207120
Total Pages : 660 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications by : Zhang, Ming

Download or read book Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications written by Zhang, Ming and published by IGI Global. This book was released on 2010-02-28 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book introduces and explains Higher Order Neural Networks (HONNs) to people working in the fields of computer science and computer engineering, and how to use HONNS in these areas"--Provided by publisher.

Application of Artificial Neural Networks in Geoinformatics

Author : Saro Lee
Publisher : MDPI
ISBN 13 : 303842742X
Total Pages : 229 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Application of Artificial Neural Networks in Geoinformatics by : Saro Lee

Download or read book Application of Artificial Neural Networks in Geoinformatics written by Saro Lee and published by MDPI. This book was released on 2018-04-09 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Application of Artificial Neural Networks in Geoinformatics" that was published in Applied Sciences

Artificial Intelligence in Medicine

Author : David Riaño
Publisher : Springer
ISBN 13 : 303021642X
Total Pages : 431 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Artificial Intelligence in Medicine by : David Riaño

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Artificial Neural Networks and Evolutionary Computation in Remote Sensing

Author : Taskin Kavzoglu
Publisher : MDPI
ISBN 13 : 3039438271
Total Pages : 256 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Artificial Neural Networks and Evolutionary Computation in Remote Sensing by : Taskin Kavzoglu

Download or read book Artificial Neural Networks and Evolutionary Computation in Remote Sensing written by Taskin Kavzoglu and published by MDPI. This book was released on 2021-01-19 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial neural networks (ANNs) and evolutionary computation methods have been successfully applied in remote sensing applications since they offer unique advantages for the analysis of remotely-sensed images. ANNs are effective in finding underlying relationships and structures within multidimensional datasets. Thanks to new sensors, we have images with more spectral bands at higher spatial resolutions, which clearly recall big data problems. For this purpose, evolutionary algorithms become the best solution for analysis. This book includes eleven high-quality papers, selected after a careful reviewing process, addressing current remote sensing problems. In the chapters of the book, superstructural optimization was suggested for the optimal design of feedforward neural networks, CNN networks were deployed for a nanosatellite payload to select images eligible for transmission to ground, a new weight feature value convolutional neural network (WFCNN) was applied for fine remote sensing image segmentation and extracting improved land-use information, mask regional-convolutional neural networks (Mask R-CNN) was employed for extracting valley fill faces, state-of-the-art convolutional neural network (CNN)-based object detection models were applied to automatically detect airplanes and ships in VHR satellite images, a coarse-to-fine detection strategy was employed to detect ships at different sizes, and a deep quadruplet network (DQN) was proposed for hyperspectral image classification.

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

Author : Fevzi Belli
Publisher : Springer Science & Business Media
ISBN 13 : 9783540556015
Total Pages : 720 pages
Book Rating : 4.5/5 (56 download)

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Book Synopsis Industrial and Engineering Applications of Artificial Intelligence and Expert Systems by : Fevzi Belli

Download or read book Industrial and Engineering Applications of Artificial Intelligence and Expert Systems written by Fevzi Belli and published by Springer Science & Business Media. This book was released on 1992-06-03 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the 5 invited papers and 72 selected papers that were presented at the Fifth International Conference on Industrial and Engineering Applications of Artificial Intelligence. This is the first IEA/AIE conference to take place outside the USA: more than 120 papers were received from 23 countries, clearly indicating the international character of the conference series. Each paper was reviewed by at least three referees. The papers are grouped into parts on: CAM, reasoning and modelling, pattern recognition, software engineering and AI/ES, CAD, vision, verification and validation, neural networks, machine learning, fuzzy logic and control, robotics, design and architecture, configuration, finance, knowledge-based systems, knowledge representation, knowledge acquisition and language processing, reasoning and decision support, intelligent interfaces/DB and tutoring, fault diagnosis, planning and scheduling, and data/sensor fusion.

Artificial Neural Networks in Hydrology

Author : R.S. Govindaraju
Publisher : Springer Science & Business Media
ISBN 13 : 9401593418
Total Pages : 338 pages
Book Rating : 4.4/5 (15 download)

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Book Synopsis Artificial Neural Networks in Hydrology by : R.S. Govindaraju

Download or read book Artificial Neural Networks in Hydrology written by R.S. Govindaraju and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette, IN. , USA Background and Motivation The basic notion of artificial neural networks (ANNs), as we understand them today, was perhaps first formalized by McCulloch and Pitts (1943) in their model of an artificial neuron. Research in this field remained somewhat dormant in the early years, perhaps because of the limited capabilities of this method and because there was no clear indication of its potential uses. However, interest in this area picked up momentum in a dramatic fashion with the works of Hopfield (1982) and Rumelhart et al. (1986). Not only did these studies place artificial neural networks on a firmer mathematical footing, but also opened the dOOf to a host of potential applications for this computational tool. Consequently, neural network computing has progressed rapidly along all fronts: theoretical development of different learning algorithms, computing capabilities, and applications to diverse areas from neurophysiology to the stock market. . Initial studies on artificial neural networks were prompted by adesire to have computers mimic human learning. As a result, the jargon associated with the technical literature on this subject is replete with expressions such as excitation and inhibition of neurons, strength of synaptic connections, learning rates, training, and network experience. ANNs have also been referred to as neurocomputers by people who want to preserve this analogy.

Applications of Artificial Intelligence Techniques in Engineering

Author : Hasmat Malik
Publisher : Springer
ISBN 13 : 9811318190
Total Pages : 625 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Applications of Artificial Intelligence Techniques in Engineering by : Hasmat Malik

Download or read book Applications of Artificial Intelligence Techniques in Engineering written by Hasmat Malik and published by Springer. This book was released on 2018-09-28 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a collection of high-quality, peer-reviewed innovative research papers from the International Conference on Signals, Machines and Automation (SIGMA 2018) held at Netaji Subhas Institute of Technology (NSIT), Delhi, India. The conference offered researchers from academic and industry the opportunity to present their original work and exchange ideas, information, techniques and applications in the field of computational intelligence, artificial intelligence and machine intelligence. The book is divided into two volumes discussing a wide variety of industrial, engineering and scientific applications of the emerging techniques.

Engineering Applications of Neural Networks

Author : Lazaros S. Iliadis
Publisher : Springer Science & Business Media
ISBN 13 : 3642239560
Total Pages : 555 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Engineering Applications of Neural Networks by : Lazaros S. Iliadis

Download or read book Engineering Applications of Neural Networks written by Lazaros S. Iliadis and published by Springer Science & Business Media. This book was released on 2011-09-08 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set IFIP AICT 363 and 364 constitutes the refereed proceedings of the 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011, held jointly in Corfu, Greece, in September 2011. The 52 revised full papers and 28 revised short papers presented together with 31 workshop papers were carefully reviewed and selected from 150 submissions. The first volume includes the papers that were accepted for presentation at the EANN 2011 conference. They are organized in topical sections on computer vision and robotics, self organizing maps, classification/pattern recognition, financial and management applications of AI, fuzzy systems, support vector machines, learning and novel algorithms, reinforcement and radial basis function ANN, machine learning, evolutionary genetic algorithms optimization, Web applications of ANN, spiking ANN, feature extraction minimization, medical applications of AI, environmental and earth applications of AI, multi layer ANN, and bioinformatics. The volume also contains the accepted papers from the Workshop on Applications of Soft Computing to Telecommunication (ASCOTE 2011), the Workshop on Computational Intelligence Applications in Bioinformatics (CIAB 2011), and the Second Workshop on Informatics and Intelligent Systems Applications for Quality of Life Information Services (ISQLIS 2011).

Artificial Neural Networks in Agriculture

Author : Sebastian Kujawa
Publisher : Mdpi AG
ISBN 13 : 9783036515809
Total Pages : 284 pages
Book Rating : 4.5/5 (158 download)

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Book Synopsis Artificial Neural Networks in Agriculture by : Sebastian Kujawa

Download or read book Artificial Neural Networks in Agriculture written by Sebastian Kujawa and published by Mdpi AG. This book was released on 2021-11-11 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern agriculture needs to have high production efficiency combined with a high quality of obtained products. This applies to both crop and livestock production. To meet these requirements, advanced methods of data analysis are more and more frequently used, including those derived from artificial intelligence methods. Artificial neural networks (ANNs) are one of the most popular tools of this kind. They are widely used in solving various classification and prediction tasks, for some time also in the broadly defined field of agriculture. They can form part of precision farming and decision support systems. Artificial neural networks can replace the classical methods of modelling many issues, and are one of the main alternatives to classical mathematical models. The spectrum of applications of artificial neural networks is very wide. For a long time now, researchers from all over the world have been using these tools to support agricultural production, making it more efficient and providing the highest-quality products possible.

Applied Artificial Neural Networks

Author : Christian Dawson
Publisher : MDPI
ISBN 13 : 3038422703
Total Pages : 259 pages
Book Rating : 4.0/5 (384 download)

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Book Synopsis Applied Artificial Neural Networks by : Christian Dawson

Download or read book Applied Artificial Neural Networks written by Christian Dawson and published by MDPI. This book was released on 2018-09-27 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Applied Artificial Neural Network" that was published in Applied Sciences

Engineering Applications of Neural Networks

Author : Chrisina Jayne
Publisher : Springer
ISBN 13 : 3319441884
Total Pages : 365 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Engineering Applications of Neural Networks by : Chrisina Jayne

Download or read book Engineering Applications of Neural Networks written by Chrisina Jayne and published by Springer. This book was released on 2016-08-18 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016. The 22 revised full papers and three short papers presented together with two tutorials were carefully reviewed and selected from 41 submissions. The papers are organized in topical sections on active learning and dynamic environments; semi-supervised modeling; classification applications; clustering applications; cyber-physical systems and cloud applications; time-series prediction; learning-algorithms.

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

Author : Graham F. Forsyth
Publisher : CRC Press
ISBN 13 : 9782884491983
Total Pages : 888 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Industrial and Engineering Applications of Artificial Intelligence and Expert Systems by : Graham F. Forsyth

Download or read book Industrial and Engineering Applications of Artificial Intelligence and Expert Systems written by Graham F. Forsyth and published by CRC Press. This book was released on 1995-08-08 with total page 888 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the areas of industry and engineering, AI techniques have become the norm in sectors including computer-aided design, intelligent manufacturing, and control. Papers in this volume represent work by both computer scientists and engineers separately and together. They directly and indirectly represent a real collaboration between computer science and engineering, covering a wide variety of fields related to intelligent systems technology ranging from neural networks, knowledge acquisition and representation, automated scheduling, machine learning, multimedia, genetic algorithms, fuzzy logic, robotics, automated reasoning, heuristic searching, automated problem solving, temporal, spatial and model-based reasoning, clustering, blackboard architectures, automated design, pattern recognition and image processing, automated planning, speech recognition, simulated annealing, and intelligent tutoring, as well as various computer applications of intelligent systems including financial analysis, artificial

Tutorials on Emerging Methodologies and Applications in Operations Research

Author : Institute for Operations Research and the Management Sciences. National Meeting
Publisher : Springer Science & Business Media
ISBN 13 : 9780387228266
Total Pages : 368 pages
Book Rating : 4.2/5 (282 download)

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Book Synopsis Tutorials on Emerging Methodologies and Applications in Operations Research by : Institute for Operations Research and the Management Sciences. National Meeting

Download or read book Tutorials on Emerging Methodologies and Applications in Operations Research written by Institute for Operations Research and the Management Sciences. National Meeting and published by Springer Science & Business Media. This book was released on 2005 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operations Research emerged as a quantitative approach to problem-solving in World War II. Its founders, who were physicists, mathematicians, and engineers, quickly found peace-time uses for this new field. Moreover, we can say that Operations Research (OR) was born in the same incubator as computer science, and through the years, it has spawned many new disciplines, including systems engineering, health care management, and transportation science. Fundamentally, Operations Research crosses discipline domains to seek solutions on a range of problems and benefits diverse disciplines from finance to bioengineering. Many disciplines routinely use OR methods. Many scientific researchers, engineers, and others will find the methodological presentations in this book useful and helpful in their problem-solving efforts. OR’s strengths are modeling, analysis, and algorithm design. It provides a quantitative foundation for a broad spectrum of problems, from economics to medicine, from environmental control to sports, from e-commerce to computational geometry. The primary purpose of TUTORIALS ON EMERGING METHODOLOGIES AND APPLICATIONS IN OPERATIONS RESEARCH is to provide a reference for practitioners and academics who seek a clear, concise presentation of developing methodologies, hence providing themselves with the capability to apply these methods to new problems. The field of Operations Research is always changing. Its changes are driven by the technology it uses and that it extends, and the applications that it affects. Relevant changes in the field have a permanent effect on the conduct of OR and are vital to anyone who wants to be current in the field. Each chapter presents a new developing methodology in Operations Research. Each chapter examines each topic with clarity and depth, and organizes the examination around the following questions: (1) What the developing methodology basically is about? (2) Why is it important? and (3) Where can I learn more?

Applications of Artificial Neural Networks

Author :
Publisher :
ISBN 13 :
Total Pages : 488 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Applications of Artificial Neural Networks by :

Download or read book Applications of Artificial Neural Networks written by and published by . This book was released on 1992 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Neural Network Modelling

Author : Subana Shanmuganathan
Publisher : Springer
ISBN 13 : 3319284959
Total Pages : 468 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Artificial Neural Network Modelling by : Subana Shanmuganathan

Download or read book Artificial Neural Network Modelling written by Subana Shanmuganathan and published by Springer. This book was released on 2016-02-03 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.

Artificial Neural Networks

Author : Ivan Nunes da Silva
Publisher : Springer
ISBN 13 : 3319431625
Total Pages : 309 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Artificial Neural Networks by : Ivan Nunes da Silva

Download or read book Artificial Neural Networks written by Ivan Nunes da Silva and published by Springer. This book was released on 2016-08-24 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios. The second half is designed specifically for the production of solutions using artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation details that were taken into account to achieve the reported results. These aspects contribute to the maturation and improvement of experimental techniques to specify the neural network architecture that is most appropriate for a particular application scope. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals.