Functional Networks With Applications
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Functional Networks With Applications
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Author : Enrique Castillo
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Functional Networks With Applications written by Enrique Castillo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net works are inspired by the brain behavior and consist of one or several layers of neurons, or computing units, connected by links. Each artificial neuron receives an input value from the input layer or the neurons in the previ ous layer. Then it computes a scalar output from a linear combination of the received inputs using a given scalar function (the activation function), which is assumed the same for all neurons. One of the main properties of neural networks is their ability to learn from data. There are two types of learning: structural and parametric. Structural learning consists of learning the topology of the network, that is, the number of layers, the number of neurons in each layer, and what neurons are connected. This process is done by trial and error until a good fit to the data is obtained. Parametric learning consists of learning the weight values for a given topology of the network. Since the neural functions are given, this learning process is achieved by estimating the connection weights based on the given information. To this aim, an error function is minimized using several well known learning methods, such as the backpropagation algorithm. Unfortunately, for these methods: (a) The function resulting from the learning process has no physical or engineering interpretation. Thus, neural networks are seen as black boxes.
Functional Networks With Applications
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Author : Enrique Castillo
language : en
Publisher: Springer Science & Business Media
Release Date : 1999
Functional Networks With Applications written by Enrique Castillo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
Deals with functional networks rather than neural networks and shows how functional network architectures can be applied to solve practical problems. Includes a short introduction to neural networks, a description of functional networks, examples of applications, and information on working with computer programs in Mathematica and Java. Intended for mathematicians, computer scientists, engineers, statisticians, and economists, and can be used as a text in a graduate course. Annotation copyrighted by Book News, Inc., Portland, OR
Functional Networks With Applications
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Author : Enrique Castillo
language : en
Publisher: Springer
Release Date : 2013-02-11
Functional Networks With Applications written by Enrique Castillo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-11 with Science categories.
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net works are inspired by the brain behavior and consist of one or several layers of neurons, or computing units, connected by links. Each artificial neuron receives an input value from the input layer or the neurons in the previ ous layer. Then it computes a scalar output from a linear combination of the received inputs using a given scalar function (the activation function), which is assumed the same for all neurons. One of the main properties of neural networks is their ability to learn from data. There are two types of learning: structural and parametric. Structural learning consists of learning the topology of the network, that is, the number of layers, the number of neurons in each layer, and what neurons are connected. This process is done by trial and error until a good fit to the data is obtained. Parametric learning consists of learning the weight values for a given topology of the network. Since the neural functions are given, this learning process is achieved by estimating the connection weights based on the given information. To this aim, an error function is minimized using several well known learning methods, such as the backpropagation algorithm. Unfortunately, for these methods: (a) The function resulting from the learning process has no physical or engineering interpretation. Thus, neural networks are seen as black boxes.
Functional Brain Mapping Of Epilepsy Networks Methods And Applications
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Author : David F. Abbott
language : en
Publisher: Frontiers Media SA
Release Date : 2020-01-29
Functional Brain Mapping Of Epilepsy Networks Methods And Applications written by David F. Abbott and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-29 with categories.
Advanced Intelligent Computing Theories And Applications
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Author : De-Shuang Huang
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-30
Advanced Intelligent Computing Theories And Applications written by De-Shuang Huang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-30 with Computers categories.
The International Conference on Intelligent Computing (ICIC) was formed to provide an annual forum dedicated to the emerging and challenging topics in artificial intel- gence, machine learning, pattern recognition, image processing, bioinformatics, and computational biology. It aims to bring together researchers and practitioners from both academia and industry to share ideas, problems, and solutions related to the m- tifaceted aspects of intelligent computing. ICIC 2010, held in Changsha, China, August 18-21, 2010, constituted the 6th - ternational Conference on Intelligent Computing. It built upon the success of ICIC 2009, ICIC 2008, ICIC 2007, ICIC 2006, and ICIC 2005, that were held in Ulsan, Korea, Shanghai, Qingdao, Kunming and Hefei, China, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications.” Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Functional And Structural Brain Network Construction Representation And Application
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Author : Mingxia Liu
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-06
Functional And Structural Brain Network Construction Representation And Application written by Mingxia Liu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-06 with Science categories.
Dynamic Functional Connectivity In Neuropsychiatric Disorders Methods And Applications
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Author : Wenbin Guo
language : en
Publisher: Frontiers Media SA
Release Date : 2020-12-03
Dynamic Functional Connectivity In Neuropsychiatric Disorders Methods And Applications written by Wenbin Guo and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-03 with Science categories.
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Novel Tools For The Study Of Structural And Functional Networks In The Brain
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Author : Luis M. Colon-Perez
language : en
Publisher: Frontiers Media SA
Release Date : 2018-04-27
Novel Tools For The Study Of Structural And Functional Networks In The Brain written by Luis M. Colon-Perez and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-27 with categories.
Throughout the history of neuroscience, technological advances are the drivers behind many major advances in our understanding of the nervous system. Investigations of the structure and function of the brain take place on multiple scales, including macroscale at the level of brain regions, mesoscale at the level of neuronal populations, and microscale at the level of single neurons and neuron to neuron interactions. Integration of knowledge over these scales requires novel techniques and interpretations. In this research topic, we highlight nine articles that integrate structural and functional approaches to study brain networks.
Radial Basis Function Networks 2
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Author : Robert J. Howlett
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-03-27
Radial Basis Function Networks 2 written by Robert J. Howlett and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-03-27 with Computers categories.
The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 2 contains a wide range of applications in the laboratory and case studies describing current industrial use. Both volumes will prove extremely useful to practitioners in the field, engineers, reserachers, students and technically accomplished managers.
Advances In Cortical Architectonic Functional Imaging With Mri Methodology And Applications
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Author : Chitresh Bhushan
language : en
Publisher: Frontiers Media SA
Release Date : 2023-04-28
Advances In Cortical Architectonic Functional Imaging With Mri Methodology And Applications written by Chitresh Bhushan and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-28 with Science categories.