Learning algorithms : theory and applications in signal processing, control and communications
著者
書誌事項
Learning algorithms : theory and applications in signal processing, control and communications
(Electronic engineering systems series)
CRC Press, c1996
大学図書館所蔵 全11件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
内容説明・目次
内容説明
Over the past decade, interest in computational or non-symbolic artificial intelligence has grown. The algorithms involved have the ability to learn from past experience, and therefore have significant potential in the adaptive control of signals and systems. This book focuses on the theory and applications of learning algorithms-stochastic learning automata; artificial neural networks; and genetic algorithms, evolutionary strategies, and evolutionary programming. Hybrid combinations of various algorithms are also discussed.
Chapter 1 provides a brief overview of the topics discussed and organization of the text. The first half of the book (Chapters 2 through 4) discusses the basic theory of the learning algorithms, with one chapter devoted to each type. In the second half (Chapters 5 through 7), the emphasis is on a wide range of applications drawn from adaptive signal processing, system identification, and adaptive control problems in telecommunication networks.
Learning Algorithms: Theory and Applications in Signal Processing, Control and Communications is an excellent text for final year undergraduate and first year graduate students in engineering, computer science, and related areas. Professional engineers and everyone involved in the application of learning techniques in adaptive signal processing, control, and communications will find this text a valuable synthesis of theory and practical application of the most useful algorithms.
目次
Introduction
Stochastic Learning Automata
Introduction
Stochastic Learning Automata
Stochastic Automata
The Environment
Norms of Behavior
Learning Algorithms
Standard Learning Algorithms
Discretised Learning Algorithms
S-Model Learning Schemes
Interconnected Automata
Hierarchical Learning Automata
Automata Games
Summary
Artificial Neural Networks
Introduction
Basic Concepts of Artificial Neural Nets
Architecture and Learning Algorithms
MLP Architecture
Radial Basis Function Nets
Kohonen Self-Organization Net
Reinforcement Learning Neural Nets
Generalization and Network Selection
Inductive Generalization
Statistical Generalization
Summary
Genetic and Evolutionary Optimization
Introduction
Genetic Algorithms
Introduction
Standard Genetic Operations
Adaptive Extensions of Genetic Algorithms
Evolutionary Strategies
Introduction
Standard Evolutionary Strategies
Improved Evolutionary Strategies
Evolutionary Programming
Introduction
Salient Features
Adaptive Extensions to Evolutionary Programming
Summary
Applications in Signal Processing
Introduction
Adaptive Digital Filtering using Stochastic Learning Automata
Introduction
Simulation Configuration
Simulation Results
Adaptive Digital Filtering using Genetic and Evolutionary Optimization
Introduction
Simulation Configuration
Simulation Results
Summary
Applications in Systems Control
Introduction
Representation of Nonlinear Systems
Nonlinear System Identification with Artificial Neural Nets
Static Nonlinear Mappings
Dynamic Systems with only Static Nonlinearity
Identification of Systems with Nonlinear Dynamics
Chaotic Time Series Prediction
Summary
Applications in Communications
Introduction
Access Control in Broadband ISDN
Introduction
The Call Access Control of ATM
Adaptive Call Access Control Strategies
Simulation Results and Discussion
Adaptive Equalization
Problem Definition
Minimum Phase Channel and Equalizers
Artificial Neural Networks for Channel Equalization
Dynamic Routing in Communication Networks
Circuit-Switched Networks
Packet-Switched Networks
Simulation Studies
Summary
Index
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