Advances in Computational Intelligence: Theory And Applications,9789812567345

Advances in Computational Intelligence: Theory And Applications

by ;
ISBN13: 9789812567345
ISBN10: 9812567348
Format: Hardcover
Pub. Date: 2006-08-30
Publisher(s): World Scientific Pub Co Inc
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Table of Contents

Preface v
List of Contributors xiii
1 A Quest for Granular Computing and Logic Processing
W. Pedrycz
1(22)
1.1 Introduction
1(1)
1.2 Granular Computing
2(3)
1.3 Granular Computing and Logic: Synergistic Links
5(2)
1.4 Main Categories of Fuzzy Logic Processing Units
7(8)
1.5 A General Topology of the Network
15(2)
1.6 Interpretation Issues of Logic Networks
17(2)
1.7 Conclusions
19(1)
Bibliography
19(4)
2 Abstraction and Linguistic Analysis of Conventional Numerical Dynamic Systems
F.-Y. Wang
23(32)
2.1 Introduction
23(3)
2.2 Type-I Linguistic Dynamic Systems
26(7)
2.3 Type-II Linguistic Dynamic Systems
33(8)
2.4 Linguistic Control Design for Goal States Specified in Words
41(9)
2.5 Conclusions
50(1)
Bibliography
51(4)
3 Slicing: A Distributed Learning Approach
S.A. Eschrich and L.O. Hall
55(44)
3.1 Introduction
56(2)
3.2 Slicing
58(2)
3.3 Variance Reduction in Slicing
60(5)
3.4 Experiments
65(22)
3.5 Analysis
87(3)
3.6 Discussion
90(2)
3.7 Conclusions
92(2)
Bibliography
94(5)
4 Marginal Learning Algorithms in Statistical Machine Learning
Q. Tao and J. Wang
99(46)
4.1 Introduction
100(2)
4.2 Classification Problems and Margin
102(1)
4.3 Maximal Margin Algorithm in SVM
103(4)
4.4 Unbalanced Classification Problems and Weighted Maximal Margin Algorithms
107(14)
4.5 The η-Unsupervised Learning Problems and Margin
121(6)
4.6 Some Marginal Algorithms for One-Class Problems
127(4)
4.7 Some New Algorithms of Clustering Problems
131(3)
4.8 New Marginal Algorithms for PCA
134(5)
4.9 Conclusions
139(1)
Bibliography
139(6)
5 Constraint Handling in Genetic Algorithm for Optimization
G.G. Yen
145(26)
5.1 Introduction
145(3)
5.2 Literature Survey
148
5.3 Proposed Constraint Handling Scheme
53(102)
5.4 Constrained Optimization – Algorithm Design
155(4)
5.5 Selection Scheme Comparison Using TCG-2
159(3)
5.6 Test Results
162(4)
5.7 Conclusions
166(1)
Bibliography
167(4)
6 Hybrid PSO-EA Algorithm for Training Feedforward and Recurrent Neural Networks for Challenging Problems
X. Cai, G.K. Venayagamoorthy, and D.C. Wunsch II
171(44)
6.1 Introduction
171(2)
6.2 PSO, EA and the Hybrid Algorithm
173(6)
6.3 Feedforward Neural Networks as Board Evaluator for the Game Capture Go
179(16)
6.4 Recurrent Neural Networks for Time Series Prediction
195(13)
6.5 Conclusions
208(1)
Bibliography
209(6)
7 Modular Wavelet-Fuzzy Networks
Y. Lin and F.-Y. Wang
215(34)
7.1 Introduction
215(2)
7.2 Wavelet Networks
217(1)
7.3 Modular Structure of Wavelet-Fuzzy Networks
218(12)
7.4 Learning Algorithm for Wavelet-Fuzzy Networks
230(9)
7.5 Simulation Results
239(6)
7.6 Conclusions
245(1)
Bibliography
245(4)
8 Ant Colony Algorithms: The State-of-the-Art
J. Zhang, J. Xu, and S. Zhang
249(22)
8.1 Introduction
249(1)
8.2 Principles of ACO
250(1)
8.3 Ant Colony Optimization
251(2)
8.4 Applications of ACO Algorithms
253(8)
8.5 Theoretical Research
261(1)
8.6 Conclusions
261(1)
Bibliography
261(10)
9 Motif Discoveries in DNA and Protein Sequences Using Self-Organizing Neural Networks
D. Liu and X. Xiong
271(32)
9.1 Introduction
272(4)
9.2 Subsequences and Encoding
276(5)
9.3 Self-Organizing Neural Networks for Motif Identification
281(9)
9.4 Simulation Results
290(7)
9.5 Conclusions
297(1)
Bibliography
298(5)
10 Computational Complexities of Combinatorial Problems With Applications to Reverse Engineering of Biological Networks
P. Berman, B. DasGupta, and E. Sontag
303(14)
10.1 Introduction
303(1)
10.2 Motivations
304(7)
10.3 Algorithms and Computational Complexities
311(3)
10.4 Conclusions
314(1)
Bibliography
314(3)
11 Advances in Fingerprint Recognition Algorithms with Application
J. Tian, X. Chen, Y. Zhang, and X. Yang
317(30)
11.1 Introduction
318(2)
11.2 Advances in Fingerprint Recognition Algorithms
320(12)
11.3 Application to Fingerprint Mobile Phone
332(6)
11.4 Conclusions
338(1)
Bibliography
339(8)
12 Adaptation and Predictive Control Observed in Neuromuscular Control Systems
J. He
347(34)
12.1 Introduction
347(2)
12.2 Control of Postural Stability
349(18)
12.3 Adaptive Control Strategy in Arm Reaching Movement
367(9)
12.4 Conclusions
376(1)
Bibliography
376(5)
13 Robust Adaptive Approximation Based Backstepping via Localized Adaptive Bounding
Y. Zhao and J.A. Farrell
381(32)
13.1 Introduction
381(2)
13.2 Problem Formulation
383(3)
13.3 Adaptive Backstepping-Based Design
386(7)
13.4 Adaptive Bounding Methods
393(10)
13.5 Supplementary Information
403(2)
13.6 Numerical Example
405(4)
13.7 Conclusions
409(1)
Bibliography
410(3)
14 Dynamically Connected Fuzzy Single Input Rule Modules and Application to Underactuated Systems
J. Yi, N. Yubazaki, and K. Hirota
413(38)
14.1 Introduction
413(2)
14.2 SIRMs Dynamically Connected Fuzzy Inference Model
415(3)
14.3 Backing-Up Control of Truck-Trailer System
418(8)
14.4 Stabilization Control of Ball-Beam System
426(7)
14.5 Stabilization Control of Parallel-Type Double Inverted Pendulum System
433(13)
14.6 Conclusions
446(1)
Bibliography
447(4)
Index 451

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