Trends In Neural Computation

Download Trends In Neural Computation full books in PDF, epub, and Kindle. Read online Trends In Neural Computation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Innovative Trends in Computational Intelligence

Author : Ravi Tomar
Publisher : Springer
ISBN 13 : 9783030782832
Total Pages : 288 pages
Book Rating : 4.7/5 (828 download)

DOWNLOAD NOW!

Book Synopsis Innovative Trends in Computational Intelligence by : Ravi Tomar

Download or read book Innovative Trends in Computational Intelligence written by Ravi Tomar and published by Springer. This book was released on 2021-11-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the key problems that computational intelligence aims to solve, including (i) the involved computational process might be too complex for mathematical reasoning; (ii) it might contain some uncertainties during the process, or (iii) by nature, the computational process is a randomly determined one (heuristic). The contributors make use of methods that are close to the human's way of reasoning, that is, available information might be inexact or incomplete, yet it would be able to produce controlled actions in an adaptive way. Approaches presented in the book include swarm intelligence, artificial immune systems, image processing, data mining, natural language processing, text mining, and other solutions involving artificial intelligence methodologies.

Trends in Neural Computation

Author : Ke Chen
Publisher : Springer Science & Business Media
ISBN 13 : 3540361219
Total Pages : 510 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Trends in Neural Computation by : Ke Chen

Download or read book Trends in Neural Computation written by Ke Chen and published by Springer Science & Business Media. This book was released on 2006-10-26 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trends in Neural Computation includes twenty chapters contributed by leading experts or formed by extending well-selected papers presented in the 2005 International Conference on Natural Computation. The book reviews the latest progress in a range of different areas of neural computation, including theoretical neural computation, biologically plausible neural modeling, computational cognitive science, artificial neural networks – architectures and learning algorithms and their applications in real-world problems.

Emerging Trends in Neuro Engineering and Neural Computation

Author : Asim Bhatti
Publisher : Springer
ISBN 13 : 9811039577
Total Pages : 267 pages
Book Rating : 4.8/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Emerging Trends in Neuro Engineering and Neural Computation by : Asim Bhatti

Download or read book Emerging Trends in Neuro Engineering and Neural Computation written by Asim Bhatti and published by Springer. This book was released on 2017-03-23 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologies/techniques in the medical domain in the treatment of neural disorders.

Trends in Neural Computation

Author :
Publisher :
ISBN 13 : 9781781546123
Total Pages : 228 pages
Book Rating : 4.5/5 (461 download)

DOWNLOAD NOW!

Book Synopsis Trends in Neural Computation by :

Download or read book Trends in Neural Computation written by and published by . This book was released on 2015 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Limitations and Future Trends in Neural Computation

Author : Sergey Ablameyko
Publisher : IOS Press
ISBN 13 : 9781586033248
Total Pages : 262 pages
Book Rating : 4.0/5 (332 download)

DOWNLOAD NOW!

Book Synopsis Limitations and Future Trends in Neural Computation by : Sergey Ablameyko

Download or read book Limitations and Future Trends in Neural Computation written by Sergey Ablameyko and published by IOS Press. This book was released on 2003 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work reports critical analyses on complexity issues in the continuum setting and on generalization to new examples, which are two basic milestones in learning from examples in connectionist models. It also covers up-to-date developments in computational mathematics.

New Trends in Neural Computation

Author : José Mira
Publisher :
ISBN 13 :
Total Pages : 746 pages
Book Rating : 4.:/5 (64 download)

DOWNLOAD NOW!

Book Synopsis New Trends in Neural Computation by : José Mira

Download or read book New Trends in Neural Computation written by José Mira and published by . This book was released on 1993 with total page 746 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Theoretical Advances in Neural Computation and Learning

Author : Vwani Roychowdhury
Publisher : Springer Science & Business Media
ISBN 13 : 1461526965
Total Pages : 482 pages
Book Rating : 4.4/5 (615 download)

DOWNLOAD NOW!

Book Synopsis Theoretical Advances in Neural Computation and Learning by : Vwani Roychowdhury

Download or read book Theoretical Advances in Neural Computation and Learning written by Vwani Roychowdhury and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: For any research field to have a lasting impact, there must be a firm theoretical foundation. Neural networks research is no exception. Some of the founda tional concepts, established several decades ago, led to the early promise of developing machines exhibiting intelligence. The motivation for studying such machines comes from the fact that the brain is far more efficient in visual processing and speech recognition than existing computers. Undoubtedly, neu robiological systems employ very different computational principles. The study of artificial neural networks aims at understanding these computational prin ciples and applying them in the solutions of engineering problems. Due to the recent advances in both device technology and computational science, we are currently witnessing an explosive growth in the studies of neural networks and their applications. It may take many years before we have a complete understanding about the mechanisms of neural systems. Before this ultimate goal can be achieved, an swers are needed to important fundamental questions such as (a) what can neu ral networks do that traditional computing techniques cannot, (b) how does the complexity of the network for an application relate to the complexity of that problem, and (c) how much training data are required for the resulting network to learn properly? Everyone working in the field has attempted to answer these questions, but general solutions remain elusive. However, encouraging progress in studying specific neural models has been made by researchers from various disciplines.

New Trends in Neural Computation

Author : José Mira
Publisher : Springer Science & Business Media
ISBN 13 : 9783540567981
Total Pages : 772 pages
Book Rating : 4.5/5 (679 download)

DOWNLOAD NOW!

Book Synopsis New Trends in Neural Computation by : José Mira

Download or read book New Trends in Neural Computation written by José Mira and published by Springer Science & Business Media. This book was released on 1993-05-27 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).

Handbook of Neural Computation

Author : Pijush Samui
Publisher : Academic Press
ISBN 13 : 0128113197
Total Pages : 660 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Neural Computation by : Pijush Samui

Download or read book Handbook of Neural Computation written by Pijush Samui and published by Academic Press. This book was released on 2017-07-18 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Recent Trends in Computational Intelligence

Author : Ali Sadollah
Publisher : BoD – Books on Demand
ISBN 13 : 1838807055
Total Pages : 200 pages
Book Rating : 4.8/5 (388 download)

DOWNLOAD NOW!

Book Synopsis Recent Trends in Computational Intelligence by : Ali Sadollah

Download or read book Recent Trends in Computational Intelligence written by Ali Sadollah and published by BoD – Books on Demand. This book was released on 2020-05-06 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional models struggle to cope with complexity, noise, and the existence of a changing environment, while Computational Intelligence (CI) offers solutions to complicated problems as well as reverse problems. The main feature of CI is adaptability, spanning the fields of machine learning and computational neuroscience. CI also comprises biologically-inspired technologies such as the intellect of swarm as part of evolutionary computation and encompassing wider areas such as image processing, data collection, and natural language processing. This book aims to discuss the usage of CI for optimal solving of various applications proving its wide reach and relevance. Bounding of optimization methods and data mining strategies make a strong and reliable prediction tool for handling real-life applications.

Recent Trends in Artificial Neural Networks

Author : Ali Sadollah
Publisher : BoD – Books on Demand
ISBN 13 : 1789854199
Total Pages : 152 pages
Book Rating : 4.7/5 (898 download)

DOWNLOAD NOW!

Book Synopsis Recent Trends in Artificial Neural Networks by : Ali Sadollah

Download or read book Recent Trends in Artificial Neural Networks written by Ali Sadollah and published by BoD – Books on Demand. This book was released on 2020-03-04 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is everywhere and it's here to stay. Most aspects of our lives are now touched by artificial intelligence in one way or another, from deciding what books or flights to buy online to whether our job applications are successful, whether we receive a bank loan, and even what treatment we receive for cancer. Artificial Neural Networks (ANNs) as a part of AI maintains the capacity to solve problems such as regression and classification with high levels of accuracy. This book aims to discuss the usage of ANNs for optimal solving of time series applications and clustering. Bounding of optimization methods particularly metaheuristics considered as global optimizers with ANNs make a strong and reliable prediction tool for handling real-life application. This book also demonstrates how different fields of studies utilize ANNs proving its wide reach and relevance.

Computational Neuroscience

Author : James M. Bower
Publisher : Springer Science & Business Media
ISBN 13 : 9780306456992
Total Pages : 990 pages
Book Rating : 4.4/5 (569 download)

DOWNLOAD NOW!

Book Synopsis Computational Neuroscience by : James M. Bower

Download or read book Computational Neuroscience written by James M. Bower and published by Springer Science & Business Media. This book was released on 1997-10-31 with total page 990 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the Annual Computational Neuroscience Conference held in Boston, Massachusetts, July 14-17, 1996

Computational Neuroscience

Author : James M. Bower
Publisher :
ISBN 13 : 9780121210403
Total Pages : 520 pages
Book Rating : 4.2/5 (14 download)

DOWNLOAD NOW!

Book Synopsis Computational Neuroscience by : James M. Bower

Download or read book Computational Neuroscience written by James M. Bower and published by . This book was released on 1996 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes papers presented at the Fourth Annual Computation and Neural Systems meeting ( CNS *95) held in Monterey California, July 11 - July 15, 1995. This collection includes 79 of the 124 papers presented at this year's meeting.Acceptance for meeting presentation was based on the peer review of preliminary papers by at least two referees. The papers in this volume, were submitted in final form after the meeting. As represented by this volume, CNS meeting continue to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function.

Advances in Neural Computation, Machine Learning, and Cognitive Research IV

Author : Boris Kryzhanovsky
Publisher : Springer Nature
ISBN 13 : 3030605779
Total Pages : 441 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research IV by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research IV written by Boris Kryzhanovsky and published by Springer Nature. This book was released on 2020-10-01 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large scale neural models, brain computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXII International Conference on Neuroinformatics, held on October 12-16, 2020, Moscow, Russia.

New Trends in Neural Computation

Author : José Mira
Publisher :
ISBN 13 :
Total Pages : 746 pages
Book Rating : 4.:/5 (641 download)

DOWNLOAD NOW!

Book Synopsis New Trends in Neural Computation by : José Mira

Statistics and Neural Networks

Author : Jim W. Kay
Publisher : Oxford University Press, USA
ISBN 13 : 9780198524229
Total Pages : 290 pages
Book Rating : 4.5/5 (242 download)

DOWNLOAD NOW!

Book Synopsis Statistics and Neural Networks by : Jim W. Kay

Download or read book Statistics and Neural Networks written by Jim W. Kay and published by Oxford University Press, USA. This book was released on 1999 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a broad overview of important current developments in the area of neural networks, this book highlights likely future trends.

Advances in Neural Computation, Machine Learning, and Cognitive Research

Author : Boris Kryzhanovsky
Publisher : Springer
ISBN 13 : 3319666045
Total Pages : 208 pages
Book Rating : 4.3/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Advances in Neural Computation, Machine Learning, and Cognitive Research by : Boris Kryzhanovsky

Download or read book Advances in Neural Computation, Machine Learning, and Cognitive Research written by Boris Kryzhanovsky and published by Springer. This book was released on 2017-08-28 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes new theories and applications of artificial neural networks, with a special focus on neural computation, cognitive science and machine learning. It discusses cutting-edge research at the intersection between different fields, from topics such as cognition and behavior, motivation and emotions, to neurocomputing, deep learning, classification and clustering. Further topics include signal processing methods, robotics and neurobionics, and computer vision alike. The book includes selected papers from the XIX International Conference on Neuroinformatics, held on October 2-6, 2017, in Moscow, Russia.