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دانلود کتاب Advances in Neural Networks – ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I

دانلود کتاب پیشرفت در شبکه های عصبی – ISNN 2004: سمپوزیوم بین المللی در شبکه های عصبی، دالیان، چین، آگوست 2004، مجموعه مقالات، قسمت اول

Advances in Neural Networks – ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I

مشخصات کتاب

Advances in Neural Networks – ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I

ویرایش: 1 
نویسندگان: , , , , ,   
سری: Lecture Notes in Computer Science 3173 
ISBN (شابک) : 9783540228417, 9783540286479 
ناشر: Springer-Verlag Berlin Heidelberg 
سال نشر: 2004 
تعداد صفحات: 1072 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 11 مگابایت 

قیمت کتاب (تومان) : 43,000



کلمات کلیدی مربوط به کتاب پیشرفت در شبکه های عصبی – ISNN 2004: سمپوزیوم بین المللی در شبکه های عصبی، دالیان، چین، آگوست 2004، مجموعه مقالات، قسمت اول: محاسبات با دستگاه های انتزاعی، تکنیک های برنامه نویسی، تحلیل الگوریتم و پیچیدگی مسئله، هوش مصنوعی (شامل رباتیک)، شبکه های ارتباطی کامپیوتری، ریاضیات گسسته در علوم کامپیوتر



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توجه داشته باشید کتاب پیشرفت در شبکه های عصبی – ISNN 2004: سمپوزیوم بین المللی در شبکه های عصبی، دالیان، چین، آگوست 2004، مجموعه مقالات، قسمت 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.


توضیحاتی در مورد کتاب پیشرفت در شبکه های عصبی – ISNN 2004: سمپوزیوم بین المللی در شبکه های عصبی، دالیان، چین، آگوست 2004، مجموعه مقالات، قسمت اول



این کتاب مجموعه مقالات سمپوزیوم بین‌المللی در مورد کارهای عصبی عصبی (ISNN 2004) است که در دالیان، لیائونینگ، چین طی 19 تا 21 اوت 2004 برگزار شد. ، اروپا، آمریکای شمالی، آمریکای جنوبی و اقیانوسیه) و 23 کشور و منطقه (سرزمین اصلی چین، هنگ کنگ، تایوان، کره جنوبی، ژاپن، سنگاپور، هند، ایران، اسرائیل، ترکیه، H-gary، لهستان، آلمان، فرانسه، بلژیک، اسپانیا، بریتانیا، ایالات متحده آمریکا، کانادا، مکزیک، ونزوئلا، شیلی و استرالیا). بر اساس بررسی‌ها، کمیته برنامه 329 مقاله با کیفیت عالی را برای ارائه در ISNN 2004 و انتشار در جریان انتخاب کرد. مقالات در بسیاری از بخش‌های موضوعی تحت ۱۱ دسته اصلی (تحلیل نظری، یادگیری و بهینه‌سازی، ماشین‌های بردار پشتیبان، جداسازی منبع کور، تجزیه و تحلیل مؤلفه‌های مستقل و تجزیه و تحلیل مؤلفه‌های اصلی، خوشه‌بندی و طبقه‌بندی، روباتیک و کنترل سازمان‌دهی شده‌اند. ارتباطات از راه دور، پردازش سیگنال، تصویر و سری زمانی، تشخیص، تشخیص و امنیت رایانه، کاربردهای زیست پزشکی و سایر کاربردها) که کل طیف تحقیقات و توسعه شبکه عصبی اخیر را پوشش می‌دهد. علاوه بر مقالات متعدد ارائه شده، از دانشمندان برجسته دعوت شد تا در ISNN 2004 سخنرانی کنند. ISNN 2004 یک رویداد افتتاحیه بود. چند صد محقق، مربی، دانشمند و پزشک را در شهر ساحلی زیبای دالیان در شمال شرقی چین گرد هم آورد.


توضیحاتی درمورد کتاب به خارجی

This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China during August 19–21, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, H- gary, Poland, Germany, France, Belgium, Spain, UK, USA, Canada, Mexico, Venezuela, Chile, and Australia). Based on reviews, the Program Committee selected 329 hi- quality papers for presentation at ISNN 2004 and publication in the proceedings. The papers are organized into many topical sections under 11 major categories (theore- cal analysis; learning and optimization; support vector machines; blind source sepa- tion, independent component analysis, and principal component analysis; clustering and classi?cation; robotics and control; telecommunications; signal, image and time series processing; detection, diagnostics, and computer security; biomedical applications; and other applications) covering the whole spectrum of the recent neural network research and development. In addition to the numerous contributed papers, ?ve distinguished scholars were invited to give plenary speeches at ISNN 2004. ISNN 2004 was an inaugural event. It brought together a few hundred researchers, educators, scientists, and practitioners to the beautiful coastal city Dalian in northeastern China.



فهرست مطالب

Front Matter....Pages -
Approximation Bounds by Neural Networks in  L ω p [-4pt]....Pages 1-6
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks....Pages 7-13
Mutual Information and Topology 1: Asymmetric Neural Network....Pages 14-19
Mutual Information and Topology 2: Symmetric Network....Pages 20-25
Simplified PCNN and Its Periodic Solutions....Pages 26-31
On Robust Periodicity of Delayed Dynamical Systems with Time-Varying Parameters....Pages 32-37
Delay-Dependent Criteria for Global Stability of Delayed Neural Network System....Pages 38-43
Stability Analysis of Uncertain Neural Networks with Delay....Pages 44-48
A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time Delays....Pages 49-54
Criteria for Stability in Neural Network Models with Iterative Maps....Pages 55-60
Exponential Stability Analysis for Neural Network with Parameter Fluctuations....Pages 61-66
Local Stability and Bifurcation in a Model of Delayed Neural Network....Pages 67-71
On the Asymptotic Stability of Non-autonomous Delayed Neural Networks....Pages 72-77
Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays....Pages 78-83
Stability of Stochastic Cohen-Grossberg Neural Networks....Pages 84-89
A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural Networks....Pages 90-95
Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays....Pages 96-101
On Robust Stability of BAM Neural Networks with Constant Delays....Pages 102-107
Absolutely Exponential Stability of BAM Neural Networks with Distributed Delays....Pages 108-113
Stability Analysis of Discrete-Time Cellular Neural Networks....Pages 114-119
Novel Exponential Stability Criteria for Fuzzy Cellular Neural Networks with Time-Varying Delay....Pages 120-125
Stability of Discrete Hopfield Networks with Delay in Serial Mode....Pages 126-131
Further Results for an Estimation of Upperbound of Delays for Delayed Neural Networks....Pages 132-137
Synchronization in Two Uncoupled Chaotic Neurons....Pages 138-143
Robust Synchronization of Coupled Delayed Recurrent Neural Networks....Pages 144-149
Self-Optimizing Neural Networks....Pages 150-155
Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs....Pages 156-161
A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies....Pages 162-167
On Soft Learning Vector Quantization Based on Reformulation....Pages 168-173
A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms....Pages 174-179
Fuzzy-Kernel Learning Vector Quantization....Pages 180-185
Genetic Generation of High-Degree-of-Freedom Feed-Forward Neural Networks....Pages 186-192
Self-Organizing Feature Map Based Data Mining....Pages 193-198
Diffusion and Growing Self-Organizing Map: A Nitric Oxide Based Neural Model....Pages 199-204
A New Adaptive Self-Organizing Map....Pages 205-210
Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm....Pages 211-216
Surrogating Neurons in an Associative Chaotic Neural Network....Pages 217-222
Ensembles of RBFs Trained by Gradient Descent....Pages 223-228
Gradient Descent Training of Radial Basis Functions....Pages 229-234
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training....Pages 235-238
A Regularized Line Search Tunneling for Efficient Neural Network Learning....Pages 239-243
Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its Algorithm....Pages 244-251
A Learning Algorithm with Gaussian Regularizer for Kernel Neuron....Pages 252-257
An Effective Learning Algorithm of Synergetic Neural Network....Pages 258-263
Sparse Bayesian Learning Based on an Efficient Subset Selection....Pages 264-269
A Novel Fuzzy Neural Network with Fast Training and Accurate Generalization....Pages 270-275
Tuning Neuro-Fuzzy Function Approximator by Tabu Search....Pages 276-281
Finite Convergence of MRI Neural Network for Linearly Separable Training Patterns....Pages 282-285
A Rapid Two-Step Learning Algorithm for Spline Activation Function Neural Networks with the Application on Biped Gait Recognition....Pages 286-292
An Online Feature Learning Algorithm Using HCI-Based Reinforcement Learning....Pages 293-298
Optimizing the Weights of Neural Networks Based on Antibody Clonal Simulated Annealing Algorithm....Pages 299-304
Backpropagation Analysis of the Limited Precision on High-Order Function Neural Networks....Pages 305-310
LMS Adaptive Notch Filter Design Based on Immune Algorithm....Pages 311-316
Training Radial Basis Function Networks with Particle Swarms....Pages 317-322
Optimizing Weights by Genetic Algorithm for Neural Network Ensemble....Pages 323-331
Survival Density Particle Swarm Optimization for Neural Network Training....Pages 332-337
Modified Error Function with Added Terms for the Backpropagation Algorithm....Pages 338-343
Robust Constrained-LMS Algorithm....Pages 344-349
A Novel Three-Phase Algorithm for RBF Neural Network Center Selection....Pages 350-355
Editing Training Data for k NN Classifiers with Neural Network Ensemble....Pages 356-361
Learning Long-Term Dependencies in Segmented Memory Recurrent Neural Networks....Pages 362-369
An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations....Pages 370-376
The Layered Feed-Forward Neural Networks and Its Rule Extraction....Pages 377-382
Analysing Contributions of Components and Factors to Pork Odour Using Structural Learning with Forgetting Method....Pages 383-388
On Multivariate Calibration Problems....Pages 389-394
Control of Associative Chaotic Neural Networks Using a Reinforcement Learning....Pages 395-400
A Method to Improve the Transiently Chaotic Neural Network....Pages 401-405
A New Neural Network for Nonlinear Constrained Optimization Problems....Pages 406-412
Delay PCNN and Its Application for Optimization....Pages 413-418
A New Parallel Improvement Algorithm for Maximum Cut Problem....Pages 419-424
A New Neural Network Algorithm for Clique Vertex-Partition Problem....Pages 425-429
An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem....Pages 430-435
A Subgraph Isomorphism Algorithm Based on Hopfield Neural Network....Pages 436-441
A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem....Pages 442-447
NN-Based GA for Engineering Optimization....Pages 448-453
Applying GENET to the JSSCSOP....Pages 454-461
Improvements to Bennett’s Nearest Point Algorithm for Support Vector Machines....Pages 462-467
Distance-Based Selection of Potential Support Vectors by Kernel Matrix....Pages 468-473
A Learning Method for Robust Support Vector Machines....Pages 474-479
A Cascade Method for Reducing Training Time and the Number of Support Vectors....Pages 480-486
Minimal Enclosing Sphere Estimation and Its Application to SVMs Model Selection....Pages 487-493
Constructing Support Vector Classifiers with Unlabeled Data....Pages 494-499
Nested Buffer SMO Algorithm for Training Support Vector Classifiers....Pages 500-505
Support Vector Classifier with a Fuzzy-Value Class Label....Pages 506-511
RBF Kernel Based Support Vector Machine with Universal Approximation and Its Application....Pages 512-517
A Practical Parameters Selection Method for SVM....Pages 518-523
Ho–Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers –An Application....Pages 524-530
Radar HRR Profiles Recognition Based on SVM with Power-Transformed-Correlation Kernel....Pages 531-536
Hydrocarbon Reservoir Prediction Using Support Vector Machines....Pages 537-542
Toxic Vapor Classification and Concentration Estimation for Space Shuttle and International Space Station....Pages 543-551
Optimal Watermark Detection Based on Support Vector Machines....Pages 552-557
Online LS-SVM Learning for Classification Problems Based on Incremental Chunk....Pages 558-564
A Novel Approach to Clustering Analysis Based on Support Vector Machine....Pages 565-570
Application of Support Vector Machine in Queuing System....Pages 571-577
Modelling of Chaotic Systems with Novel Weighted Recurrent Least Squares Support Vector Machines....Pages 578-585
Nonlinear System Identification Based on an Improved Support Vector Regression Estimator....Pages 586-591
Anomaly Detection Using Support Vector Machines....Pages 592-597
Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines....Pages 598-604
Support Vector Machine Multiuser Detector for TD-SCDMA Communication System in Multipath Channels....Pages 605-610
Eyes Location by Hierarchical SVM Classifiers....Pages 611-615
Classification of Stellar Spectral Data Using SVM....Pages 616-621
Iris Recognition Using Support Vector Machines....Pages 622-628
Heuristic Genetic Algorithm-Based Support Vector Classifier for Recognition of Remote Sensing Images....Pages 629-635
Landmine Feature Extraction and Classification of GPR Data Based on SVM Method....Pages 636-641
Occupant Classification for Smart Airbag Using Stereovision and Support Vector Machines....Pages 642-647
Support Vector Machine Committee for Classification....Pages 648-653
Automatic Modulation Classification by Support Vector Machines....Pages 654-659
Blind Source Separation Using for Time-Delay Direction Finding....Pages 660-665
Frequency-Domain Separation Algorithms for Instantaneous Mixtures....Pages 666-671
Cumulant-Based Blind Separation of Convolutive Mixtures....Pages 672-677
A New Blind Source Separation Method Based on Fractional Lower Order Statistics and Neural Network....Pages 678-683
A Clustering Approach for Blind Source Separation with More Sources than Mixtures....Pages 684-689
A Blind Source Separation Algorithm with Linear Prediction Filters....Pages 690-695
A Blind Source Separation Based Micro Gas Sensor Array Modeling Method....Pages 696-701
A Novel Denoising Algorithm Based on Feedforward Multilayer Blind Separation....Pages 702-707
The Existence of Spurious Equilibrium in FastICA....Pages 708-713
Hardware Implementation of Pulsed Neural Networks Based on Delta-Sigma Modulator for ICA....Pages 714-719
Study on Object Recognition Based on Independent Component Analysis....Pages 720-725
Application of ICA Method for Detecting Functional MRI Activation Data....Pages 726-731
Single-Trial Estimation of Multi-channel VEP Signals Using Independent Component Analysis....Pages 732-737
Data Hiding in Independent Components of Video....Pages 738-743
Multisensor Data Fusion Based on Independent Component Analysis for Fault Diagnosis of Rotor....Pages 744-749
Substructural Damage Detection Using Neural Networks and ICA....Pages 750-754
Speech Segregation Using Constrained ICA....Pages 755-760
Adaptive RLS Implementation of Non-negative PCA Algorithm for Blind Source Separation....Pages 761-767
Progressive Principal Component Analysis....Pages 768-773
Extracting Target Information in Multispectral Images Using a Modified KPCA Approach....Pages 774-779
Use PCA Neural Network to Extract the PN Sequence in Lower SNR DS/SS Signals....Pages 780-785
Hierarchical PCA-NN for Retrieving the Optical Properties of Two-Layer Tissue Model....Pages 786-791
Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road....Pages 792-797
Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis....Pages 798-803
An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis....Pages 804-809
Convergence Analysis for Oja+ MCA Learning Algorithm....Pages 810-814
On the Discrete Time Dynamics of the MCA Neural Networks....Pages 815-821
The Cook Projection Index Estimation Using the Wavelet Kernel Function....Pages 822-827
Automatic Cluster Number Determination via BYY Harmony Learning....Pages 828-833
Unsupervised Learning for Hierarchical Clustering Using Statistical Information....Pages 834-839
Document Clustering Algorithm Based on Tree-Structured Growing Self-Organizing Feature Map....Pages 840-845
Improved SOM Clustering for Software Component Catalogue....Pages 846-851
Classification by Multilayer Feedforward Ensembles....Pages 852-857
Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face....Pages 858-863
Unsupervised Feature Selection for Multi-class Object Detection Using Convolutional Neural Networks....Pages 864-869
Recurrent Network as a Nonlinear Line Attractor for Skin Color Association....Pages 870-875
A Bayesian Classifier by Using the Adaptive Construct Algorithm of the RBF Networks....Pages 876-881
An Improved Analytical Center Machine for Classification....Pages 882-887
Analysis of Fault Tolerance of a Combining Classifier....Pages 888-893
Training Multilayer Perceptron with Multiple Classifier Systems....Pages 894-899
Learning the Supervised NLDR Mapping for Classification....Pages 900-905
Comparison with Two Classification Algorithms of Remote Sensing Image Based on Neural Network....Pages 906-911
Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images....Pages 912-917
SAR Image Recognition Using Synergetic Neural Networks Based on Immune Clonal Programming....Pages 918-923
Speaker Identification Using Reduced RBF Networks Array....Pages 924-929
Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks....Pages 930-935
Automatic Digital Modulation Recognition Using Wavelet Transform and Neural Networks....Pages 936-940
Local Face Recognition Based on the Combination of ICA and NFL....Pages 941-946
Facial Expression Recognition Using Kernel Discriminant Plane....Pages 947-952
Application of CMAC-Based Networks on Medical Image Classification....Pages 953-958
Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm....Pages 959-964
A Remote Sensing Image Classification Method Using Color and Texture Feature....Pages 965-970
Remote Sensing Image Classification Based on Evidence Theory and Neural Networks....Pages 971-976
Neural Networks in Detection and Identification of Littoral Oil Pollution by Remote Sensing....Pages 977-982
Identifying Pronunciation-Translated Names from Chinese Texts Based on Support Vector Machines....Pages 983-987
FPGA Implementation of Feature Extraction and Neural Network Classifier for Handwritten Digit Recognition....Pages 988-995
Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition....Pages 996-1001
A Novel Approach to Stellar Recognition by Combining EKF and RBF Net....Pages 1002-1007
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks....Pages 1008-1014
The Recognition of the Vehicle License Plate Based on Modular Networks....Pages 1015-1020
Neural Network Associator for Images and Their Chinese Characters....Pages 1021-1024
Exploring Various Features to Optimize Hot Topic Retrieval on WEB....Pages 1025-1031
Back Matter....Pages -




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