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130703s2013 gw | s |||| 0|eng d |
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|a 9783642390654
|9 978-3-642-39065-4
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|a 10.1007/978-3-642-39065-4
|2 doi
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|a QA75.5-76.95
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|2 bisacsh
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|a 004.0151
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|a Guo, Chengan.
|e editor.
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|a Advances in Neural Networks ISNN 2013
|b 10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I /
|c edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng.
|h [electronic resource] :
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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|a XXVI, 687 p. 268 illus.
|b online resource.
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|a text
|b txt
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|a computer
|b c
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|a online resource
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|a Lecture Notes in Computer Science,
|v 7951
|x 0302-9743 ;
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| 505 |
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|a Computational Neuroscience and Cognitive Science -- Information Transfer Characteristic in Memristic Neuromorphic Network -- Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model -- A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem -- Spike Train Pattern and Firing Synchronization in a Model of the Olfactory Mitral Cell -- Efficiency Improvements for Fuzzy Associative Memory -- A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA -- Emotion Cognitive Reappraisal Research Based on Simultaneous Recording of EEG and BOLD Responses -- Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks -- Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure -- A Study on Dynamic Characteristics of the Hippocampal Two-Dimension Reduced Neuron Model under Current Conductance Changes -- Neural Network Models, Learning Algorithms, Stability and Convergence Analysis -- Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method -- Generalized Single-Hidden Layer Feedforward Networks -- An Approach for Designing Neural Cryptography -- Bifurcation of a Discrete-Time Cohen-Grossberg-Type BAM Neural Network with Delays -- Stability Criteria for Uncertain Linear Systems with Time-Varying Delay -- Generalized Function Projective Lag Synchronization between Two Different Neural Networks -- Application of Local Activity Theory of CNN to the Coupled Autocatalator Model -- Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays -- Parallel Computation of a New Data Driven Algorithm for Training Neural Networks -- Stability Analysis of a Class of High Order Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Reaction-Diffusion Terms -- A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression -- Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks -- Existence of Periodic Solution for Competitive Neural Networks with Time-Varying and Distributed Delays on Time Scales -- Global Exponential Stability in the Mean Square of Stochastic Cohen-Grossberg Neural Networks with Time-Varying and Continuous Distributed Delays -- A Delay-Partitioning Approach to Stability Analysis of Discrete-Time Recurrent Neural Networks with Randomly Occurred Nonlinearities -- The Universal Approximation Capabilities of Mellin Approximate Identity Neural Networks -- H
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|a The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.
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|a Computer science.
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|a Computer software.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Computer vision.
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| 650 |
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|a Optical pattern recognition.
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| 650 |
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|a Computer Science.
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| 650 |
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|a Computation by Abstract Devices.
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| 650 |
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4 |
|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Pattern Recognition.
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| 650 |
2 |
4 |
|a Image Processing and Computer Vision.
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| 650 |
2 |
4 |
|a Mathematical Modeling and Industrial Mathematics.
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| 650 |
2 |
4 |
|a Algorithm Analysis and Problem Complexity.
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| 700 |
1 |
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|a Hou, Zeng-Guang.
|e editor.
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| 700 |
1 |
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|a Zeng, Zhigang.
|e editor.
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| 710 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783642390647
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| 830 |
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|a Lecture Notes in Computer Science,
|v 7951
|x 0302-9743 ;
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| 856 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-39065-4
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|a ZDB-2-SCS
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| 912 |
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|a ZDB-2-LNC
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| 950 |
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|a Computer Science (Springer-11645)
|