Cognitive systems are modeled after the highly complex, integrated network that is the human brain. Haykin describes the fundamental issues pertaining to performance characterizations of complex dynamic systems, including perceptual attention, controlled attention, working memory, and decisionmaking based on big data.
The book presents the cognitive network as a system of systems. The primary examples of cognitive networks presented are cognitive radar networks and cognitive radio networks (both open-access and market-driven). The book is supported by seven appendices covering, among others, probability theory, Bayesian inference, the method of stochastic gradients, and Fisher information, all of which are applicable to multiple sections in the book.

Cognitive systems are modeled after the highly complex, integrated network that is the human brain. Haykin describes the fundamental issues pertaining to performance characterizations of complex dynamic systems, including perceptual attention, controlled attention, working memory, and decisionmaking based on big data.
The book presents the cognitive network as a system of systems. The primary examples of cognitive networks presented are cognitive radar networks and cognitive radio networks (both open-access and market-driven). The book is supported by seven appendices covering, among others, probability theory, Bayesian inference, the method of stochastic gradients, and Fisher information, all of which are applicable to multiple sections in the book.

网友对Cognitive Networks的评论

喜欢Cognitive Networks请与您的朋友分享,由于版权原因，读书人网不提供图书下载服务