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ویرایش: [Pt. 2, 1 ed.] نویسندگان: Yevgeniy Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Valeriya Poyedyntseva (auth.), Włodzisław Duch, Janusz Kacprzyk, Erkki Oja, Sławomir Zadrożny (eds.) سری: Lecture Notes in Computer Science 3697 : Theoretical Computer Science and General Issues ISBN (شابک) : 3540287558, 9783540287551 ناشر: Springer-Verlag Berlin Heidelberg سال نشر: 2005 تعداد صفحات: 1045 [1049] زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 32 Mb
در صورت تبدیل فایل کتاب Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II 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 شبکه های عصبی مصنوعی: مدل های رسمی و کاربردهای آنها - ایکان 2005: پانزدهمین کنفرانس بین المللی ، ورشو ، لهستان ، 11-15 سپتامبر 2005. مجموعه مقالات ، قسمت دوم 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.
این جلد اولین بخش از مجموعه مقالات دو جلدی کنفرانس بین المللی C در شبکه های عصبی مصنوعی (ICANN 2005) است که در 11 تا 15 سپتامبر 2005 در ورشو، لهستان، با چندین کارگاه آموزشی در سپتامبر برگزار شد. 15، 2005 در دانشگاه نیکلاس کوپرنیک، تورو، لهستان. کنفرانس ICANN یک نشست سالانه است که توسط انجمن شبکه های عصبی اروپا با همکاری انجمن شبکه های عصبی بین المللی، انجمن شبکه های عصبی ژاپن و انجمن هوش محاسباتی IEEE برگزار می شود. این رویداد برتر اروپایی است که تمام موضوعات مرتبط با شبکه های عصبی و حوزه های مرتبط را پوشش می دهد. مجموعه کنفرانس های ICANN در سال 1991 آغاز شد و به زودی به گردهمایی بزرگ اروپایی برای متخصصان در این زمینه ها تبدیل شد. در سال 2005 کنفرانس ICANN توسط مؤسسه تحقیقات سیستمی، آکادمی علوم لهستان، ورشو، لهستان، و دانشگاه نیکلاس کوپرنیک، تورو، لهستان سازماندهی شد. از بین بیش از 600 مقاله ارسال شده به جلسات عادی و حدود 10 جلسه کنفرانس ویژه، کمیته برنامه بین المللی - پس از یک فرآیند بررسی دقیق - حدود 270 مقاله را برای چاپ انتخاب کرد. تعداد زیادی از مقالات پذیرفته شده مطمئناً دلیلی بر سرزندگی و جذابیت حوزه شبکه های عصبی مصنوعی است، اما همچنین نشان دهنده علاقه شدید به کنفرانس های ICANN است.
This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.
Front Matter....Pages -
Neuro-fuzzy Kolmogorov’s Network....Pages 1-6
A Neural Network Model for Inter-problem Adaptive Online Time Allocation....Pages 7-12
Discriminant Parallel Perceptrons....Pages 13-18
A Way to Aggregate Multilayer Neural Networks....Pages 19-24
Generalized Net Models of MLNN Learning Algorithms....Pages 25-30
Monotonic Multi-layer Perceptron Networks as Universal Approximators....Pages 31-37
Short Term Memories and Forcing the Re-use of Knowledge for Generalization....Pages 39-44
Interpolation Mechanism of Functional Networks....Pages 45-51
Neural Network Topology Optimization....Pages 53-58
Rough Sets-Based Recursive Learning Algorithm for Radial Basis Function Networks....Pages 59-65
Support Vector Neural Training....Pages 67-72
Evolutionary Algorithms for Real-Time Artificial Neural Network Training....Pages 73-78
Developing Measurement Selection Strategy for Neural Network Models....Pages 79-84
Nonlinear Regression with Piecewise Affine Models Based on RBFN....Pages 85-90
Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria....Pages 91-96
Multiresponse Sparse Regression with Application to Multidimensional Scaling....Pages 97-102
Training Neural Networks Using Taguchi Methods: Overcoming Interaction Problems....Pages 103-108
A Global-Local Artificial Neural Network with Application to Wave Overtopping Prediction....Pages 109-114
Learning with Ensemble of Linear Perceptrons....Pages 115-120
Combination Methods for Ensembles of RBFs....Pages 121-126
Ensemble Techniques for Credibility Estimation of GAME Models....Pages 127-132
Combination Methods for Ensembles of MF....Pages 133-138
New Results on Ensembles of Multilayer Feedforward....Pages 139-144
On Variations of Power Iteration....Pages 145-150
Linear Dimension Reduction Based on the Fourth-Order Cumulant Tensor....Pages 151-156
On Spectral Basis Selection for Single Channel Polyphonic Music Separation....Pages 157-162
Independent Subspace Analysis Using k -Nearest Neighborhood Distances....Pages 163-168
Study of the Behavior of a New Boosting Algorithm for Recurrent Neural Networks....Pages 169-174
Time Delay Learning by Gradient Descent in Recurrent Neural Networks....Pages 175-180
Representation and Identification Method of Finite State Automata by Recurrent High-Order Neural Networks....Pages 181-189
Global Stability Conditions of Locally Recurrent Neural Networks....Pages 191-196
An Agent-Based PLA for the Cascade Correlation Learning Architecture....Pages 197-202
Dual Memory Model for Using Pre-existing Knowledge in Reinforcement Learning Tasks....Pages 203-208
Stochastic Processes for Return Maximization in Reinforcement Learning....Pages 209-214
Maximizing the Ratio of Information to Its Cost in Information Theoretic Competitive Learning....Pages 215-222
Completely Self-referential Optimal Reinforcement Learners....Pages 223-233
Model Selection Under Covariate Shift....Pages 235-240
Smooth Performance Landscapes of the Variational Bayesian Approach....Pages 241-246
Jacobi Alternative to Bayesian Evidence Maximization in Diffusion Filtering....Pages 247-252
Bayesian Learning of Neural Networks Adapted to Changes of Prior Probabilities....Pages 253-259
A New Method of Learning Bayesian Networks Structures from Incomplete Data....Pages 261-266
Bayesian Hierarchical Ordinal Regression....Pages 267-272
Traffic Flow Forecasting Using a Spatio-temporal Bayesian Network Predictor....Pages 273-278
Manifold Constrained Variational Mixtures....Pages 279-284
Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis....Pages 285-287
Separable Data Aggregation in Hierarchical Networks of Formal Neurons....Pages 289-294
Induced Weights Artificial Neural Network....Pages 295-300
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification....Pages 301-306
On the Explicit Use of Example Weights in the Construction of Classifiers....Pages 307-312
A First Approach to Solve Classification Problems Based on Functional Networks....Pages 313-318
A Description of a Simulation Environment and Neural Architecture for A-Life....Pages 319-324
Neural Network Classifers in Arrears Management....Pages 325-330
Sequential Classification of Probabilistic Independent Feature Vectors Based on Multilayer Perceptron....Pages 331-336
Multi-class Pattern Classification Based on a Probabilistic Model of Combining Binary Classifiers....Pages 337-342
Evaluating Performance of Random Subspace Classifier on ELENA Classification Database....Pages 343-349
A New RBF Neural Network Based Non-linear Self-tuning Pole-Zero Placement Controller....Pages 351-357
Using the Levenberg-Marquardt for On-line Training of a Variant System....Pages 359-364
Optimal Control Yields Power Law Behavior....Pages 365-370
A NeuroFuzzy Controller for 3D Virtual Centered Navigation in Medical Images of Tubular Structures....Pages 371-376
Emulating Process Simulators with Learning Systems....Pages 377-382
Evolving Modular Fast-Weight Networks for Control....Pages 383-389
Topological Derivative and Training Neural Networks for Inverse Problems....Pages 391-396
Application of Domain Neural Network to Optimization Tasks....Pages 397-403
Eigenvalue Problem Approach to Discrete Minimization....Pages 405-410
A Neurocomputational Approach to Decision Making and Aging....Pages 411-416
Comparison of Neural Network Robot Models with Not Inverted and Inverted Inertia Matrix....Pages 417-422
Causal Neural Control of a Latching Ocean Wave Point Absorber....Pages 423-429
An Off-Policy Natural Policy Gradient Method for a Partial Observable Markov Decision Process....Pages 431-436
A Simplified Forward-Propagation Learning Rule Applied to Adaptive Closed-Loop Control....Pages 437-443
Improved, Simpler Neural Controllers for Lamprey Swimming....Pages 445-450
Supervision of Control Valves in Flotation Circuits Based on Artificial Neural Network....Pages 451-456
Comparison of Volterra Models Extracted from a Neural Network for Nonlinear Systems Modeling....Pages 457-463
Identification of Frequency-Domain Volterra Model Using Neural Networks....Pages 465-471
Hierarchical Clustering for Efficient Memory Allocation in CMAC Neural Network....Pages 473-478
Knowledge Extraction from Unsupervised Multi-topographic Neural Network Models....Pages 479-484
Current Trends on Knowledge Extraction and Neural Networks....Pages 485-490
Prediction of Yeast Protein–Protein Interactions by Neural Feature Association Rule....Pages 491-496
A Novel Method for Extracting Knowledge from Neural Networks with Evolving SQL Queries....Pages 497-502
CrySSMEx , a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study....Pages 503-508
Computational Neurogenetic Modeling: Integration of Spiking Neural Networks, Gene Networks, and Signal Processing Techniques....Pages 509-514
Information Visualization for Knowledge Extraction in Neural Networks....Pages 515-520
Combining GAs and RBF Neural Networks for Fuzzy Rule Extraction from Numerical Data....Pages 521-526
Neural Network Algorithm for Events Forecasting and Its Application to Space Physics Data....Pages 527-532
Counterpropagation with Delays with Applications in Time Series Prediction....Pages 533-539
Bispectrum-Based Statistical Tests for VAD....Pages 541-546
Back-Propagation as Reinforcement in Prediction Tasks....Pages 547-552
Mutual Information and k -Nearest Neighbors Approximator for Time Series Prediction....Pages 553-558
Some Issues About the Generalization of Neural Networks for Time Series Prediction....Pages 559-564
Multi-step-ahead Prediction Based on B-Spline Interpolation and Adaptive Time-Delay Neural Network....Pages 565-570
Training of Support Vector Machines with Mahalanobis Kernels....Pages 571-576
Smooth Bayesian Kernel Machines....Pages 577-582
A New Kernel-Based Algorithm for Online Clustering....Pages 583-588
The LCCP for Optimizing Kernel Parameters for SVM....Pages 589-594
The GCS Kernel for SVM-Based Image Recognition....Pages 595-600
Informational Energy Kernel for LVQ....Pages 601-606
Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines....Pages 607-612
A Comparison of Different Initialization Strategies to Reduce the Training Time of Support Vector Machines....Pages 613-618
A Hierarchical Support Vector Machine Based Solution for Off-line Inverse Modeling in Intelligent Robotics Applications....Pages 619-624
LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator....Pages 625-630
Building Smooth Neighbourhood Kernels via Functional Data Analysis....Pages 631-636
Recognition of Heartbeats Using Support Vector Machine Networks – A Comparative Study....Pages 637-642
Componentwise Support Vector Machines for Structure Detection....Pages 643-648
Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning....Pages 649-654
Incremental Rule Pruning for Fuzzy ARTMAP Neural Network....Pages 655-660
An Inductive Learning Algorithm with a Partial Completeness and Consistence via a Modified Set Covering Problem....Pages 661-666
A Neural Network for Text Representation....Pages 667-672
A Fuzzy Approach to Some Set Approximation Operations....Pages 673-678
Connectionist Modeling of Linguistic Quantifiers....Pages 679-684
Fuzzy Rule Extraction Using Recombined RecBF for Very-Imbalanced Datasets....Pages 685-690
An Iterative Artificial Neural Network for High Dimensional Data Analysis....Pages 691-696
Towards Human Friendly Data Mining: Linguistic Data Summaries and Their Protoforms....Pages 697-702
Localization of Abnormal EEG Sources Incorporating Constrained BSS....Pages 703-708
Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach....Pages 709-714
Data Fusion for Modern Engineering Applications: An Overview....Pages 715-721
Modified Cost Functions for Modelling Air Quality Time Series by Using Neural Networks....Pages 723-728
Troubleshooting in GSM Mobile Telecommunication Networks Based on Domain Model and Sensory Information....Pages 729-734
Energy of Brain Potentials Evoked During Visual Stimulus: A New Biometric?....Pages 735-740
Communicative Interactivity – A Multimodal Communicative Situation Classification Approach....Pages 741-746
Bayesian Network Modeling Aspects Resulting from Applications in Medical Diagnostics and GSM Troubleshooting....Pages 747-752
Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection....Pages 753-759
Combining Measurement Quality into Monitoring Trends in Foliar Nutrient Concentrations....Pages 761-767
A Fast and Efficient Method for Compressing fMRI Data Sets....Pages 769-777
Non-linear Predictive Models for Speech Processing....Pages 779-784
Predictive Speech Coding Improvements Based on Speaker Recognition Strategies....Pages 785-791
Predictive Kohonen Map for Speech Features Extraction....Pages 793-798
Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition....Pages 799-804
Improvement in Language Detection by Neural Discrimination in Comparison with Predictive Models....Pages 805-810
Learning Ontology Alignments Using Recursive Neural Networks....Pages 811-816
Minimizing Uncertainty in Semantic Identification When Computing Resources Are Limited....Pages 817-822
Automated Extraction of Object- and Event-Metadata from Gesture Video Using a Bayesian Network....Pages 823-828
f-SWRL: A Fuzzy Extension of SWRL....Pages 829-834
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval....Pages 835-840
Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps....Pages 841-846
Fusing MPEG-7 Visual Descriptors for Image Classification....Pages 847-852
The Method of Inflection Errors Correction in Texts Composed in Polish Language – A Concept....Pages 853-858
Coexistence of Fuzzy and Crisp Concepts in Document Maps....Pages 859-864
Information Retrieval Based on a Neural-Network System with Multi-stable Neurons....Pages 865-872
Neural Coding Model of Associative Ontology with Up/Down State and Morphoelectrotonic Transform....Pages 873-879
Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks....Pages 881-886
A New Probabilistic Neural Network for Fault Detection in MEMS....Pages 887-892
Analog Fault Detection Using a Neuro Fuzzy Pattern Recognition Method....Pages 893-898
Support Vector Machine for Recognition of Bio-products in Gasoline....Pages 899-904
Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition....Pages 905-910
Using Multilayer Perceptrons to Align High Range Resolution Radar Signals....Pages 911-916
Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural Networks....Pages 917-922
Completing Hedge Fund Missing Net Asset Values Using Kohonen Maps and Constrained Randomization....Pages 923-928
Neural Architecture for Concurrent Map Building and Localization Using Adaptive Appearance Maps....Pages 929-934
New Neural Network Based Mobile Location Estimation in a Metropolitan Area....Pages 935-941
Lagrange Neural Network for Solving CSP Which Includes Linear Inequality Constraints....Pages 943-948
Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction....Pages 949-954
Research on Electrotactile Representation Technology Based on Spatiotemporal Dual-Channel....Pages 955-961
Application of Bayesian MLP Techniques to Predicting Mineralization Potential from Geoscientific Data....Pages 963-968
Solving Satisfiability Problem by Parallel Execution of Neural Networks with Biases....Pages 969-974
Local vs Global Models in Pong....Pages 975-980
Evolution of Heuristics for Give-Away Checkers....Pages 981-987
Nonlinear Relational Markov Networks with an Application to the Game of Go....Pages 989-996
Flexible Decision Process for Astronauts in Marsbase Simulator....Pages 997-1002
Tolerance of Radial Basis Functions Against Stuck-At-Faults....Pages 1003-1008
The Role of Membrane Threshold and Rate in STDP Silicon Neuron Circuit Simulation....Pages 1009-1014
Systolic Realization of Kohonen Neural Network....Pages 1015-1020
A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor....Pages 1021-1026
Balancing Guidance Range and Strength Optimizes Self-organization by Silicon Growth Cones....Pages 1027-1034
Erratum....Pages E1-E1
Back Matter....Pages -