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Learning Systems and Intelligent Robots

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Cover of 'Learning Systems and Intelligent Robots'

Table of Contents

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    Book Overview
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    Chapter 1 The Concept of a Linguistic Variable and its Application to Approximate Reasoning
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    Chapter 2 Fundamental Concepts and Social Consequences of Artificial Intelligence
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    Chapter 3 Biorobots for Simulation Studies of Learning and Intelligent Controls
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    Chapter 4 A Mathematical Neuron Model which has a Staircaselike Response Characteristic
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    Chapter 5 Performance Aspects of Stochastic Nonlinear System Classification by Pattern Recognition Methods
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    Chapter 6 Algorithmic Techniques for Modeling Nonlinear Functions
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    Chapter 7 A Survey of Heuristic Search Method of Multimodal Optimum Point
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    Chapter 8 Basic Search Patterns in Heuristic Search
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    Chapter 9 Multi-Modal System Identifications by a Learning Procedure
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    Chapter 10 Learning Dual Control under Complete State Information
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    Chapter 11 On a Class of Variable-Structure Systems
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    Chapter 12 A Method of Learning Control Varying Search Domain by Fuzzy Automata
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    Chapter 13 Adaptive Computer Aiding in Dynamic Decision Processes
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    Chapter 14 Optimal Learning Recognizer for Unknown Signal Sets in a Channel with Feedback Link
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    Chapter 15 Computational Algorithms for Interactive Pattern Recognition
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    Chapter 16 A Methodology for Interactive Systems
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    Chapter 17 Automatic Recognition of Complex Three-Dimensional Objects from Optical Images
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    Chapter 18 Eyes of the Wabot
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    Chapter 19 The “Rubber-Mask” Technique-I, Pattern Measurement and Analysis
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    Chapter 20 The “Rubber-Mask” Technique-II, Pattern Storage and Recognition
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    Chapter 21 Learning Texture Information from Singular Photographs and its Application in Digital Image Classification
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    Chapter 22 A Theory of Character Recognition by Pattern Matching Method
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Title
Learning Systems and Intelligent Robots
Published by
Springer US, December 2012
DOI 10.1007/978-1-4684-2106-4
ISBNs
978-1-4684-2108-8, 978-1-4684-2106-4
Editors

Fu, K. S., Tou, Julius T.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 80%
Professor > Associate Professor 1 20%
Other 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Business, Management and Accounting 1 20%
Chemistry 1 20%
Engineering 1 20%