Computation, Learning, and Architectures - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computation, Learning, and Architectures write by . This book was released on 1992. Computation, Learning, and Architectures available in PDF, EPUB and Kindle.
Neural Networks for Perception
Neural Networks for Perception - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural Networks for Perception write by Harry Wechsler. This book was released on 2014-05-10. Neural Networks for Perception available in PDF, EPUB and Kindle. Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation and examples of PDP models for machine perception. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The book is organized into two parts. The first part focuses on human perception. Topics on network model of object recognition in human vision, the self-organization of functional architecture in the cerebral cortex, and the structure and interpretation of neuronal codes in the visual system are detailed under this part. Part two covers the relevance of neural networks for machine perception. Subjects considered under this section include the multi-dimensional linear lattice for Fourier and Gabor transforms, multiple- scale Gaussian filtering, and edge detection; aspects of invariant pattern and object recognition; and neural network for motion processing. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.
Modelling Perception with Artificial Neural Networks
Modelling Perception with Artificial Neural Networks - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modelling Perception with Artificial Neural Networks write by Colin R. Tosh. This book was released on 2010-06-24. Modelling Perception with Artificial Neural Networks available in PDF, EPUB and Kindle. 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.
Neural networks for perception
Neural networks for perception - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural networks for perception write by Harry Wechsler. This book was released on 1992. Neural networks for perception available in PDF, EPUB and Kindle.
Neural Networks for Perception
Neural Networks for Perception - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neural Networks for Perception write by Harry Wechsler. This book was released on 2014-05-10. Neural Networks for Perception available in PDF, EPUB and Kindle. Neural Networks for Perception, Volume 2: Computation, Learning, and Architectures explores the computational and adaptation problems related to the use of neuronal systems, and the corresponding hardware architectures capable of implementing neural networks for perception and of coping with the complexity inherent in massively distributed computation. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The text is organized into two sections. The first section, computation and learning, discusses topics on learning visual behaviors, some of the elementary theory of the basic backpropagation neural network architecture, and computation and learning in the context of neural network capacity. The second section is on hardware architecture. The chapters included in this part of the book describe the architectures and possible applications of recent neurocomputing models. The Cohen-Grossberg model of associative memory, hybrid optical/digital architectures for neorocomputing, and electronic circuits for adaptive synapses are some of the subjects elucidated. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.
