Home eBooks Download › modelling perception with artificial neural networks

Modelling Perception With Artificial Neural Networks

Download Modelling Perception With Artificial Neural Networks PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Modelling Perception With Artificial Neural Networks book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Modelling Perception With Artificial Neural Networks

DOWNLOAD
Author : Colin R. Tosh
language : en
Publisher: Cambridge University Press
Release Date : 2010-06-24

Modelling Perception With Artificial Neural Networks written by Colin R. Tosh and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-24 with Science categories.

Studies of the evolution of animal signals and sensory behaviour have more recently shifted from considering 'extrinsic' (environmental) determinants to 'intrinsic' (physiological) ones. The drive behind this change has been the increasing availability of neural network models. With contributions from experts in the field, this book provides a complete survey of artificial neural networks. The book opens with two broad, introductory level reviews on the themes of the book: neural networks as tools to explore the nature of perceptual mechanisms, and neural networks as models of perception in ecology and evolutionary biology. Later chapters expand on these themes and address important methodological issues when applying artificial neural networks to study perception. The final chapter provides perspective by introducing a neural processing system in a real animal. The book provides the foundations for implementing artificial neural networks, for those new to the field, along with identifying potential research areas for specialists.

Modelling Perception With Artificial Neural Networks

DOWNLOAD
Author : Colin Tosh
language : en
Publisher:
Release Date : 2014-05-14

Modelling Perception With Artificial Neural Networks written by Colin Tosh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-14 with Neural networks (Computer science) categories.

A complete review of neural network models; a modern, powerful and successful tool for studying animal perception.

Artificial Neural Network Modelling

DOWNLOAD
Author : Subana Shanmuganathan
language : en
Publisher: Springer
Release Date : 2016-02-03

Artificial Neural Network Modelling written by Subana Shanmuganathan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-02-03 with Technology & Engineering categories.

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.

Deep Learning For Robot Perception And Cognition

DOWNLOAD
Author : Alexandros Iosifidis
language : en
Publisher: Academic Press
Release Date : 2022-02-04

Deep Learning For Robot Perception And Cognition written by Alexandros Iosifidis and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-04 with Technology & Engineering categories.

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis

Modelling Perception With Artificial Neural Networks

DOWNLOAD
Author : Colin R. Tosh
language : en
Publisher: Cambridge University Press
Release Date : 2010-06-24

Artificial Neural Networks

DOWNLOAD
Author : Kenji Suzuki
language : en
Publisher: BoD – Books on Demand
Release Date : 2011-04-04

Artificial Neural Networks written by Kenji Suzuki and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-04 with Computers categories.

Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material identification, and estimation of material property and state, food industry such as meat, electric and power industry such as batteries and power systems, mechanical engineering such as engines and machines, and control and robotic engineering such as system control and identification, fault diagnosis systems, and robot manipulation. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in industrial and control engineering areas. The target audience includes professors and students in engineering schools, and researchers and engineers in industries.

Artificial Neural Networks As Models Of Neural Information Processing

DOWNLOAD
Author : Marcel van Gerven
language : en
Publisher: Frontiers Media SA
Release Date : 2018-02-01

Artificial Neural Networks As Models Of Neural Information Processing written by Marcel van Gerven 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 2018-02-01 with categories.

Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.

Speech Hearing And Neural Network Models

DOWNLOAD
Author : Seiichi Nakagawa
language : en
Publisher: IOS Press
Release Date : 1995

Speech Hearing And Neural Network Models written by Seiichi Nakagawa and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Medical categories.

A wide range of fields of study support speech research. They cover many fields like for instance phonetics, linguistics, psychology, cognitive science, sonics, information engineering (information theory, pattern recognition, artificial intelligence), and it is an extremely difficult job to carry all of these in one body.The first half of this book gives detailed descriptions of engineering applications, that is the speech, hearing and perception mechanisms that form the basis for automatic synthesis and recognition of speech. The second half of this book gives a detailed explanation of speech synthesis and recognition based on a collective physiological approach, that is the artificial neural networks which imitate human neural networks and have once again been bathed in attention lately. The characteristics of this book are that, along with having engineers and technicians as its main targets, it explains engineering models based on speech science.

Managing Information And Communications In A Changing Global Environment

DOWNLOAD
Author : Information Resources Management Association. International Conference
language : en
Publisher: IGI Global
Release Date : 1995-01-01

Managing Information And Communications In A Changing Global Environment written by Information Resources Management Association. International Conference and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-01 with Business & Economics categories.

Advances of information and communications technologies have created new forces in managing organizations. These forces are leading modern organizations to reassess their current structures to become more effective in the growing global economy. This Proceedings is aimed at the challenges involved in effective utilization and management of technologies in contemporary organizations.

Stochasticity Nonlinearity And Forecasting Of Streamflow Processes

DOWNLOAD
Author : Wen Wang
language : en
Publisher: IOS Press
Release Date : 2006

Stochasticity Nonlinearity And Forecasting Of Streamflow Processes written by Wen Wang and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computers categories.

Streamflow forecasting is of great importance to water resources management and flood defense. On the other hand, a better understanding of the streamflow process is fundamental for improving the skill of streamflow forecasting. The methods for forecasting streamflows may fall into two general classes: process-driven methods and data-driven methods. Equivalently, methods for understanding streamflow processes may also be broken into two categories: physically-based methods and mathematically-based methods. This thesis focuses on using mathematically-based methods to analyze stochasticity and nonlinearity of streamflow processes based on univariate historic streamflow records, and presents data-driven models that are also mainly based on univariate streamflow time series. Six streamflow processes of five rivers in different geological regions are investigated for stochasticity and nonlinearity at several characteristic timescales.

Modelling Perception With Artificial Neural Networks

Recent Posts