Information Theoretic Aspects Of Neural Networks
Download and Read Information Theoretic Aspects Of Neural Networks full books in PDF, ePUB, and Kindle. Read online free Information Theoretic Aspects Of Neural Networks ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Information-Theoretic Aspects of Neural Networks
Author | : P. S. Neelakanta |
Publisher | : CRC Press |
Total Pages | : 233 |
Release | : 2020-09-23 |
Genre | : Technology & Engineering |
ISBN | : 100014125X |
Download Information-Theoretic Aspects of Neural Networks Book in PDF, Epub and Kindle
Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information storage, information-theoretic based cost-functions, and neurocybernetics and self-organization. Existing studies only sparsely cover the entropy and/or cybernetic aspects of neural information. Information-Theoretic Aspects of Neural Networks cohesively explores this burgeoning discipline, covering topics such as: Shannon information and information dynamics neural complexity as an information processing system memory and information storage in the interconnected neural web extremum (maximum and minimum) information entropy neural network training non-conventional, statistical distance-measures for neural network optimizations symmetric and asymmetric characteristics of information-theoretic error-metrics algorithmic complexity based representation of neural information-theoretic parameters genetic algorithms versus neural information dynamics of neurocybernetics viewed in the information-theoretic plane nonlinear, information-theoretic transfer function of the neural cellular units statistical mechanics, neural networks, and information theory semiotic framework of neural information processing and neural information flow fuzzy information and neural networks neural dynamics conceived through fuzzy information parameters neural information flow dynamics informatics of neural stochastic resonance Information-Theoretic Aspects of Neural Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. The information in this book explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.
Information-Theoretic Aspects of Neural Networks Related Books
Pages: 233
Pages: 417
Pages: 416
Pages: 265
Pages: 538