Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science
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72

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Published By Springer Berlin Heidelberg

9783642210891, 9783642210907

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Adaptive Kernel-Width Selection for Kernel-Based Least-Squares Policy Iteration Algorithm

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_70 ◽

2011 ◽

pp. 611-619

Author(s):

Jun Wu ◽

Xin Xu ◽

Lei Zuo ◽

Zhaobin Li ◽

Jian Wang

Keyword(s):

Least Squares ◽

Policy Iteration ◽

Iteration Algorithm ◽

Kernel Width ◽

Adaptive Kernel ◽

Policy Iteration Algorithm ◽

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Meddler, Agents in the Bounded Confidence Model on Flocking Movement World

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_68 ◽

2011 ◽

pp. 591-600

Author(s):

Shusong Li ◽

Shiyong Zhang ◽

Binglin Dou

Keyword(s):

Bounded Confidence ◽

Bounded Confidence Model

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Genetic Dynamic Fuzzy Neural Network (GDFNN) for Nonlinear System Identification

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_61 ◽

2011 ◽

pp. 525-534 ◽

Author(s):

Mahardhika Pratama ◽

Meng Joo Er ◽

Xiang Li ◽

Lin San ◽

J. O. Richard ◽

...

Keyword(s):

Neural Network ◽

System Identification ◽

Nonlinear System ◽

Fuzzy Neural Network ◽

Nonlinear System Identification ◽

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State Feedback Control Based on Twin Support Vector Regression Compensating for a Class of Nonlinear Systems

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_60 ◽

2011 ◽

pp. 515-524

Author(s):

Chaoxu Mu ◽

Changyin Sun ◽

Xinghuo Yu

Keyword(s):

Feedback Control ◽

Nonlinear Systems ◽

Support Vector Regression ◽

State Feedback ◽

State Feedback Control ◽

Support Vector ◽

Twin Support Vector Regression

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A Filter Based Feature Selection Approach Using Lempel Ziv Complexity

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_31 ◽

2011 ◽

pp. 260-269 ◽

Author(s):

Sultan Uddin Ahmed ◽

Md. Fazle Elahi Khan ◽

Md. Shahjahan

Keyword(s):

Feature Selection ◽

Selection Approach ◽

Feature Selection Approach

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Orientation Representation and Efficiency Trade-off of a Biological Inspired Computational Vision Model

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_26 ◽

2011 ◽

pp. 215-224

Author(s):

Yuxiang Jiang ◽

Hui Wei

Keyword(s):

Computational Vision ◽

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Stochastic p-Hub Center Problem with Discrete Time Distributions

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_22 ◽

2011 ◽

pp. 182-191 ◽

Author(s):

Kai Yang ◽

Yankui Liu ◽

Xin Zhang

Keyword(s):

Discrete Time ◽

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Learning Curve Model for Torpedo Based on Neural Network

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_19 ◽

2011 ◽

pp. 159-164

Author(s):

Min-quan Zhao ◽

Qing-wei Liang ◽

Shanshan Jiang ◽

Ping Chen

Keyword(s):

Neural Network ◽

Learning Curve ◽

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A Fixed-Point EM Algorithm for Straight Line Detection

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_16 ◽

2011 ◽

pp. 136-143

Author(s):

Chonglun Fang ◽

Jinwen Ma

Keyword(s):

Fixed Point ◽

Em Algorithm ◽

Line Detection ◽

Straight Line ◽

Straight Line Detection

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Resampling Methods versus Cost Functions for Training an MLP in the Class Imbalance Context

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21090-7_3 ◽

2011 ◽

pp. 19-26 ◽

Author(s):

R. Alejo ◽

P. Toribio ◽

J. M. Sotoca ◽

R. M. Valdovinos ◽

E. Gasca

Keyword(s):

Class Imbalance ◽

Cost Functions ◽

Resampling Methods

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