Advances in Computational Intelligence : Theory and Applications.
Title:
Advances in Computational Intelligence : Theory and Applications.
Author:
Wang, Fei-Yue.
ISBN:
9789812773920
Personal Author:
Physical Description:
1 online resource (478 pages)
Series:
Series in Intelligent Control and Intelligent Automation ; v.5
Series in Intelligent Control and Intelligent Automation
Contents:
Contents -- Preface -- List of Contributors -- 1 A Quest for Granular Computing and Logic Processing -- 1.1 Introduction -- 1.2 Granular Computing -- 1.3 Granular Computing and Logic: Synergistic Links -- 1.4 Main Categories of Fuzzy Logic Processing Units -- 1.5 A General Topology of the Network -- 1.6 Interpretation Issues of Logic Networks -- 1.7 Conclusions -- Bibliography -- 2 Abstraction and Linguistic Analysis of Conventional Numerical Dynamic Systems -- 2.1 Introduction -- 2.2 Type-I Linguistic Dynamic Systems -- 2.3 Type-II Linguistic Dynamic Systems -- 2.4 Linguistic Control Design for Goal States Specified in Words -- 2.5 Conclusions -- Bibliography -- 3 Slicing: A Distributed Learning Approach -- 3.1 Introduction -- 3.2 Slicing -- 3.3 Variance Reduction in Slicing -- 3.4 Experiments -- 3.5 Analysis -- 3.6 Discussion -- 3.7 Conclusions -- Bibliography -- 4 Marginal Learning Algorithms in Statistical Machine Learning -- 4.1 Introduction -- 4.2 Classification Problems and Margin -- 4.3 Maximal Margin Algorithm in SVM -- 4.4 Unbalanced Classification Problems and Weighted Maximal Margin Algorithms -- 4.5 The n-Unsupervised Learning Problems and Margin -- 4.6 Some Marginal Algorithms for One-Class Problems -- 4.7 Some New Algorithms of Clustering Problems -- 4.8 New Marginal Algorithms for PCA -- 4.9 Conclusions -- Bibliography -- 5 Constraint Handling in Genetic Algorithm for Optimization -- 5.1 Introduction -- 5.2 Literature Survey -- 5.3 Proposed Constraint Handling Scheme -- 5.4 Constrained Optimization - Algorithm Design -- 5.5 Selection Scheme Comparison Using TCG-2 -- 5.6 Test Results -- 5.7 Conclusions -- Bibliography.
6 Hybrid PSO-EA Algorithm for Training Feedforward and Recurrent Neural Networks for Challenging Problems -- 6.1 Introduction -- 6.2 PSO EA and the Hybrid Algorithm -- 6.3 Feedforward Neural Networks as Board Evaluator for the Game Capture Go -- 6.4 Recurrent Neural Networks for Time Series Prediction -- 6.5 Conclusions -- Bibliography -- 7 Modular Wavelet-Fuzzy Networks -- 7.1 Introduction -- 7.2 Wavelet Networks -- 7.3 Modular Structure of Wavelet-Fuzzy Networks -- 7.4 Learning Algorithm for Wavelet-Fuzzy Networks -- 7.5 Simulation Results -- 7.6 Conclusions -- Bibliography -- 8 Ant Colony Algorithms: The State-of-the-Art -- 8.1 Introduction -- 8.2 Principles of ACO -- 8.3 Ant Colony Optimization -- 8.4 Applications of ACO Algorithms -- 8.5 Theoretical Research -- 8.6 Conclusions -- Bibliography -- 9 Motif Discoveries in DNA and Protein Sequences Using Self-Organizing Neural Networks -- 9.1 Introduction -- 9.2 Subsequences and Encoding -- 9.3 Self-Organizing Neural Networks for Motif Identification -- 9.4 Simulation Results -- 9.5 Conclusions -- Bibliography -- 10 Computational Complexities of Combinatorial Problems With Applications to Reverse Engineering of Biological Networks -- 10.1 Introduction -- 10.2 Motivations -- 10.3 Algorithms and Computational Complexities -- 10.4 Conclusions -- Bibliography -- 11 Advances in Fingerprint Recognition Algorithms with Application -- 11.1 Introduction -- 11.2 Advances in Fingerprint Recognition Algorithms -- 11.3 Application to Fingerprint Mobile Phone -- 11.4 Conclusions -- Bibliography -- 12 Adaptation and Predictive Control Observed in Neuromuscular Control Systems -- 12.1 Introduction -- 12.2 Control of Postural Stability -- 12.3 Adaptive Control Strategy in Arm Reaching Movement -- 12.4 Conclusions -- Bibliography.
13 Robust Adaptive Approximation Based Backstepping via Localized Adaptive Bounding -- 13.1 Introduction -- 13.2 Problem Formulation -- 13.3 Adaptive Backstepping-Based Design -- 13.4 Adaptive Bounding Methods -- 13.5 Supplementary Information -- 13.6 Numerical Example -- 13.7 Conclusions -- Bibliography -- 14 Dynamically Connected Fuzzy Single Input Rule Modules and Application to Underactuated Systems -- 14.1 Introduction -- 14.2 SIRMs Dynamically Connected Fuzzy Inference Model -- 14.3 Backing-Up Control of Truck-Trailer System -- 14.4 Stabilization Control of Ball-Beam System -- 14.5 Stabilization Control of Parallel-Type Double Inverted Pendulum System -- 14.6 Conclusions -- Bibliography -- Index.
Abstract:
Computational Intelligence (CI) is a recently emerging area in fundamental and applied research, exploiting a number of advanced information processing technologies that mainly embody neural networks, fuzzy logic and evolutionary computation. With a major concern to exploiting the tolerance for imperfection, uncertainty, and partial truth to achieve tractability, robustness and low solution cost, it becomes evident that composing methods of CI should be working concurrently rather than separately. It is this conviction that research on the synergism of CI paradigms has experienced significant growth in the last decade with some areas nearing maturity while many others remaining unresolved. This book systematically summarizes the latest findings and sheds light on the respective fields that might lead to future breakthroughs. Contents: A Quest for Granular Computing and Logic Processing (W Pedrycz); Abstraction and Linguistic Analysis of Conventional Numerical Dynamic Systems (F-Y Wang); Slicing: A Distributed Learning Approach (S A Eschrich & L O Hall); Marginal Learning Algorithms in Statistical Machine Learning (Q Tao & J Wang); Constraint Handling in Genetic Algorithm for Optimization (G G Yen); Hybrid PSO-EA Algorithm for Training Feedforward and Recurrent Neural Networks for Challenging Problems (X Cai et al.); Modular Wavelet-Fuzzy Networks (Y Lin & F-Y Wang); Ant Colony Algorithms: The State-of-the-Art (J Zhang et al.); Motif Discoveries in DNA and Protein Sequences Using Self-Organizing Neural Networks (D Liu & X Xiong); Computational Complexities of Combinatorial Problems with Applications to Reverse Engineering of Biological Networks (P Berman et al.); Advances in Fingerprint Recognition Algorithms with Application (J Tian et al.); Adaptation and Predictive Control Observed in Neuromuscular Control Systems (J He); Robust Adaptive
Approximation Based Backstepping via Localized Adaptive Bounding (Y Zhao & J A Farrell); Dynamically Connected Fuzzy Single Input Rule Modules and Application to Underactuated Systems (J Yi et al.). Readership: Researchers, graduate and senior level undergraduate students in electrical & electronic engineering, computer engineering, neural networks, fuzzy logic and artificial intelligence.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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