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ویرایش: 1 نویسندگان: Shun-ichi Amari (auth.), Jun Wang, Xiaofeng Liao, Zhang Yi (eds.) سری: Lecture Notes in Computer Science 3496 : Theoretical Computer Science and General Issues ISBN (شابک) : 9783540259121, 9783540320654 ناشر: Springer-Verlag Berlin Heidelberg سال نشر: 2005 تعداد صفحات: 1100 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 14 مگابایت
کلمات کلیدی مربوط به کتاب پیشرفت در شبکه های عصبی - ISNN 2005: دومین سمپوزیوم بین المللی شبکه های عصبی ، چونگ کینگ ، چین ، 30 مه - 1 ژوئن 2005 ، مجموعه مقالات ، بخش اول: محاسبات با دستگاه های انتزاعی، شبکه های ارتباطی کامپیوتری، تحلیل الگوریتم و پیچیدگی مسئله، ریاضیات گسسته در علوم کامپیوتر، هوش مصنوعی (شامل رباتیک)، تشخیص الگو
در صورت تبدیل فایل کتاب Advances in Neural Networks – ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب پیشرفت در شبکه های عصبی - ISNN 2005: دومین سمپوزیوم بین المللی شبکه های عصبی ، چونگ کینگ ، چین ، 30 مه - 1 ژوئن 2005 ، مجموعه مقالات ، بخش اول نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
مجموعه سه جلدی LNCS 3496/3497/3498 مجموعه مقالات داوری دومین سمپوزیوم بینالمللی شبکههای عصبی، ISNN 2005 است که در چونگ کینگ، چین در ماه می/ژوئن 2005 برگزار شد.
483 مقاله اصلاح شده ارائه شده با دقت بررسی و از بین 1.425 مقاله ارسالی انتخاب شدند. مقالات در بخش های موضوعی در مورد تجزیه و تحلیل نظری، طراحی مدل، روش های یادگیری، روش های بهینه سازی، روش های هسته، تجزیه و تحلیل مؤلفه ها، تجزیه و تحلیل الگو، مدل سازی سیستم ها، پردازش سیگنال، پردازش تصویر، تجزیه و تحلیل مالی، سیستم های کنترل، سیستم های رباتیک، شبکه های مخابراتی، تشخیص بروز، تشخیص عیب، سیستم های قدرت، کاربردهای زیست پزشکی، کاربردهای صنعتی و سایر کاربردها.
The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005.
The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.
Front Matter....Pages -
Population Coding, Bayesian Inference and Information Geometry....Pages 1-4
One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization....Pages 5-20
Dynamic Models for Intention (Goal-Directedness) Are Required by Truly Intelligent Robots....Pages 21-33
Differences and Commonalities Between Connectionism and Symbolicism....Pages 34-38
Pointwise Approximation for Neural Networks....Pages 39-44
On the Universal Approximation Theorem of Fuzzy Neural Networks with Random Membership Function Parameters....Pages 45-50
A Review: Relationship Between Response Properties of Visual Neurons and Advances in Nonlinear Approximation Theory....Pages 51-56
Image Representation in Visual Cortex and High Nonlinear Approximation....Pages 57-62
Generalization and Property Analysis of GENET....Pages 63-68
On Stochastic Neutral Neural Networks....Pages 69-74
Eigenanalysis of CMAC Neural Network....Pages 75-80
A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction....Pages 81-86
Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture....Pages 87-94
Nonlinear Dynamical Analysis on Coupled Modified Fitzhugh-Nagumo Neuron Model....Pages 95-101
Stability of Nonautonomous Recurrent Neural Networks with Time-Varying Delays....Pages 102-107
Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay....Pages 108-113
A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay....Pages 114-119
A Further Result for Exponential Stability of Neural Networks with Time-Varying Delays....Pages 120-125
Improved Results for Exponential Stability of Neural Networks with Time-Varying Delays....Pages 126-131
Global Exponential Stability of Recurrent Neural Networks with Infinite Time-Varying Delays and Reaction-Diffusion Terms....Pages 132-141
Exponential Stability Analysis of Neural Networks with Multiple Time Delays....Pages 142-148
Exponential Stability of Cohen-Grossberg Neural Networks with Delays....Pages 149-155
Global Exponential Stability of Cohen-Grossberg Neural Networks with Time-Varying Delays and Continuously Distributed Delays....Pages 156-161
Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays....Pages 162-167
Exponential Stability of Fuzzy Cellular Neural Networks with Unbounded Delay....Pages 168-173
Global Exponential Stability of Reaction-Diffusion Hopfield Neural Networks with Distributed Delays....Pages 174-180
Global Exponential Stability of Delayed Impulsive Hopfield Type Neural Networks....Pages 181-186
Global Exponential Stability of Hopfield Neural Networks with Impulsive Effects....Pages 187-192
Global Exponential Stability of Discrete Time Hopfield Neural Networks with Delays....Pages 193-198
Stability Analysis of Uncertain Neural Networks with Linear and Nonlinear Time Delays....Pages 199-202
Robust Stability for Delayed Neural Networks with Nonlinear Perturbation....Pages 203-208
Robust Stability Analysis of a Class of Hopfield Neural Networks with Multiple Delays....Pages 209-214
Robust Stability of Interval Delayed Neural Networks....Pages 215-221
Impulsive Robust Control of Interval Hopfield Neural Networks....Pages 222-228
Global Attractivity of Cohen-Grossberg Model with Delays....Pages 229-234
High-Order Hopfield Neural Networks....Pages 235-240
Stability Analysis of Second Order Hopfield Neural Networks with Time Delays....Pages 241-246
Convergence Analysis of Genetic Regulatory Networks Based on Nonlinear Measures....Pages 247-252
Stability Conditions for Discrete Neural Networks in Partial Simultaneous Updating Mode....Pages 253-258
Dynamic Behavior Analysis of Discrete Neural Networks with Delay....Pages 259-264
Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks....Pages 265-270
Globally Attractive Periodic Solutions of Continuous-Time Neural Networks and Their Discrete-Time Counterparts....Pages 271-275
Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks....Pages 276-281
Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays....Pages 282-287
An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays....Pages 288-293
Periodic Oscillation and Exponential Stability of a Class of Competitive Neural Networks....Pages 294-301
Synchronous Behaviors of Two Coupled Neurons....Pages 302-307
Adaptive Synchronization of Delayed Neural Networks Based on Parameters Identification....Pages 308-313
Strength and Direction of Phase Synchronization of Neural Networks....Pages 314-319
Hopf Bifurcation in a Single Inertial Neuron Model: A Frequency Domain Approach....Pages 320-326
Hopf Bifurcation in a Single Inertial Neuron Model with a Discrete Delay....Pages 327-333
Stability and Bifurcation of a Neuron Model with Delay-Dependent Parameters....Pages 334-339
Stability and Chaos of a Neural Network with Uncertain Time Delays....Pages 340-345
Chaotic Synchronization of Delayed Neural Networks....Pages 346-350
Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays....Pages 351-356
Complex Dynamics in a Simple Hopfield-Type Neural Network....Pages 357-362
Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model....Pages 363-368
Modeling Cortex Network: A Spatio-temporal Population Approach....Pages 369-374
A Special Kind of Neural Networks: Continuous Piecewise Linear Functions....Pages 375-379
A Novel Dynamic Structural Neural Network with Neuron-Regeneration and Neuron-Degeneration Mechanisms....Pages 380-384
A New Adaptive Ridgelet Neural Network....Pages 385-390
Designing Neural Networks Using Hybrid Particle Swarm Optimization....Pages 391-397
A New Strategy for Designing Bidirectional Associative Memories....Pages 398-403
Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons....Pages 404-409
Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation....Pages 410-415
Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation....Pages 416-421
Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation....Pages 422-427
Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation....Pages 428-433
A Novel Self-organizing Neural Fuzzy Network for Automatic Generation of Fuzzy Inference Systems....Pages 434-439
Constructive Fuzzy Neural Networks and Its Application....Pages 440-445
A Novel CNN Template Design Method Based on GIM....Pages 446-454
A Novel Generalized Congruence Neural Networks....Pages 455-460
A SOM Based Model Combination Strategy....Pages 461-466
Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function....Pages 467-472
Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions....Pages 473-478
A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories....Pages 479-484
Associative Memory Using Nonlinear Line Attractor Network for Multi-valued Pattern Association....Pages 485-490
Associative Chaotic Neural Network via Exponential Decay Spatio-temporal Effect....Pages 491-496
On a Chaotic Neural Network with Decaying Chaotic Noise....Pages 497-502
Extension Neural Network-Type 3....Pages 503-508
Pulsed Para-neural Networks (PPNN) Based on MEXORs and Counters....Pages 509-514
Using Ensemble Information in Swarming Artificial Neural Networks....Pages 515-519
Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization....Pages 520-525
Wrapper Approach for Learning Neural Network Ensemble by Feature Selection....Pages 526-531
Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction....Pages 532-537
The Bounds on the Rate of Uniform Convergence for Learning Machine....Pages 538-545
Supervised Learning on Local Tangent Space....Pages 546-551
Study Markov Neural Network by Stochastic Graph....Pages 552-557
An Efficient Recursive Total Least Squares Algorithm for Training Multilayer Feedforward Neural Networks....Pages 558-565
A Robust Learning Algorithm for Feedforward Neural Networks with Adaptive Spline Activation Function....Pages 566-571
A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks....Pages 572-577
Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training....Pages 578-584
An Improved Backpropagation Algorithm Using Absolute Error Function....Pages 585-590
An Improved Relative Criterion Using BP Algorithm....Pages 591-596
Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training....Pages 597-602
Enhanced Fuzzy Single Layer Perceptron....Pages 603-608
A New Training Algorithm for a Fuzzy Perceptron and Its Convergence....Pages 609-614
Stochastic Fuzzy Neural Network and Its Robust Parameter Learning Algorithm....Pages 615-620
Applying Neural Network to Reinforcement Learning in Continuous Spaces....Pages 621-626
Multiagent Reinforcement Learning Algorithm Using Temporal Difference Error....Pages 627-633
A Foremost-Policy Reinforcement Learning Based ART2 Neural Network and Its Learning Algorithm....Pages 634-639
A Reinforcement Learning Based Radial-Bassis Function Network Control System....Pages 640-645
Structure Pruning Strategies for Min-Max Modular Network....Pages 646-651
Sequential Bayesian Learning for Modular Neural Networks....Pages 652-659
A Modified Genetic Algorithm for Fast Training Neural Networks....Pages 660-665
Immunity Clonal Synergetic Learning of Unbalanced Attention Parameters in Synergetic Network....Pages 666-671
Optimizing Weights of Neural Network Using an Adaptive Tabu Search Approach....Pages 672-676
Semi-supervised Learning for Image Retrieval Using Support Vector Machines....Pages 677-681
A Simple Rule Extraction Method Using a Compact RBF Neural Network....Pages 682-687
Automatic Fuzzy Rule Extraction Based on Fuzzy Neural Network....Pages 688-693
Neural Networks for Nonconvex Nonlinear Programming Problems: A Switching Control Approach....Pages 694-699
Deterministic Global Optimization with a Neighbourhood Determination Algorithm Based on Neural Networks....Pages 700-705
A Neural Network Methodology of Quadratic Optimization with Quadratic Equality Constraints....Pages 706-711
A Hopfiled Neural Network for Nonlinear Constrained Optimization Problems Based on Penalty Function....Pages 712-717
A Neural Network Algorithm for Second-Order Conic Programming....Pages 718-724
Application of Neural Network to Interactive Physical Programming....Pages 725-730
Application of the “Winner Takes All” Principle in Wang’s Recurrent Neural Network for the Assignment Problem....Pages 731-738
Theoretical Analysis and Parameter Setting of Hopfield Neural Networks....Pages 739-744
Solving Optimization Problems Based on Chaotic Neural Network with Hysteretic Activation Function....Pages 745-749
An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem....Pages 750-755
A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem....Pages 756-761
Transient Chaotic Discrete Neural Network for Flexible Job-Shop Scheduling....Pages 762-769
Integration of Artificial Neural Networks and Genetic Algorithm for Job-Shop Scheduling Problem....Pages 770-775
An Effective Algorithm Based on GENET Neural Network Model for Job Shop Scheduling with Release Dates and Due Dates....Pages 776-781
Fuzzy Due Dates Job Shop Scheduling Problem Based on Neural Network....Pages 782-787
Heuristic Combined Artificial Neural Networks to Schedule Hybrid Flow Shop with Sequence Dependent Setup Times....Pages 788-793
A Neural Network Based Heuristic for Resource-Constrained Project Scheduling....Pages 794-799
Functional-Link Net Based Multiobjective Fuzzy Optimization....Pages 800-804
Optimizing the Distributed Network Monitoring Model with Bounded Bandwidth and Delay Constraints by Neural Networks....Pages 805-810
Stochastic Nash Equilibrium with a Numerical Solution Method....Pages 811-816
Generalized Foley-Sammon Transform with Kernels....Pages 817-823
Sparse Kernel Fisher Discriminant Analysis....Pages 824-830
Scaling the Kernel Function to Improve Performance of the Support Vector Machine....Pages 831-836
Online Support Vector Machines with Vectors Sieving Method....Pages 837-842
Least Squares Support Vector Machine Based on Continuous Wavelet Kernel....Pages 843-850
Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error....Pages 851-856
Trajectory-Based Support Vector Multicategory Classifier....Pages 857-862
Multi-category Classification by Least Squares Support Vector Regression....Pages 863-868
Twi-Map Support Vector Machine for Multi-classification Problems....Pages 869-874
Fuzzy Multi-class SVM Classifier Based on Optimal Directed Acyclic Graph Using in Similar Handwritten Chinese Characters Recognition....Pages 875-880
A Hierarchical and Parallel Method for Training Support Vector Machines....Pages 881-886
Task Decomposition Using Geometric Relation for Min-Max Modular SVMs....Pages 887-892
A Novel Ridgelet Kernel Regression Method....Pages 893-899
Designing Nonlinear Classifiers Through Minimizing VC Dimension Bound....Pages 900-905
A Cascaded Mixture SVM Classifier for Object Detection....Pages 906-912
Radar High Range Resolution Profiles Feature Extraction Based on Kernel PCA and Kernel ICA....Pages 913-918
Controlling Chaotic Systems via Support Vector Machines Without Analytical Model....Pages 919-924
Support Vector Regression for Software Reliability Growth Modeling and Prediction....Pages 925-930
SVM-Based Semantic Text Categorization for Large Scale Web Information Organization....Pages 931-936
Fuzzy Support Vector Machine and Its Application to Mechanical Condition Monitoring....Pages 937-942
Guided GA-ICA Algorithms....Pages 943-948
A Cascaded Ensemble Learning for Independent Component Analysis....Pages 949-954
A Step by Step Optimization Approach to Independent Component Analysis....Pages 955-960
Self-adaptive FastICA Based on Generalized Gaussian Model....Pages 961-966
An Efficient Independent Component Analysis Algorithm for Sub-Gaussian Sources....Pages 967-972
ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System....Pages 973-978
Fast Independent Component Analysis for Face Feature Extraction....Pages 979-984
Affine Invariant Descriptors for Color Images Based on Independent Component Analysis....Pages 985-990
A New Image Protection and Authentication Technique Based on ICA....Pages 991-996
Locally Spatiotemporal Saliency Representation: The Role of Independent Component Analysis....Pages 997-1003
A Multistage Decomposition Approach for Adaptive Principal Component Analysis....Pages 1004-1009
A New Kalman Filtering Algorithm for Nonlinear Principal Component Analysis....Pages 1010-1015
An Improvement on PCA Algorithm for Face Recognition....Pages 1016-1021
A Modified PCA Neural Network to Blind Estimation of the PN Sequence in Lower SNR DS-SS Signals....Pages 1022-1027
A Modified MCA EXIN Algorithm and Its Convergence Analysis....Pages 1028-1033
Robust Beamforming by a Globally Convergent MCA Neural Network....Pages 1034-1041
Back Matter....Pages -