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ویرایش: 1 نویسندگان: John A. Barnden (auth.), Lars Niklasson PhD, Mikael Bodén PhD, Tom Ziemke MSc (eds.) سری: Perspectives in Neural Computing ISBN (شابک) : 9783540762638, 9781447115991 ناشر: Springer-Verlag London سال نشر: 1998 تعداد صفحات: 1197 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 36 مگابایت
کلمات کلیدی مربوط به کتاب ICANN 98: مجموعه مقالات هشتمین کنفرانس بین المللی شبکه های عصبی مصنوعی ، Skövde ، سوئد ، 2-4 سپتامبر 1998: هوش مصنوعی (شامل رباتیک)، فیزیک آماری، سیستمهای دینامیکی و پیچیدگی، علوم اعصاب، انفورماتیک سلامت
در صورت تبدیل فایل کتاب ICANN 98: Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998 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 ICANN 98: مجموعه مقالات هشتمین کنفرانس بین المللی شبکه های عصبی مصنوعی ، Skövde ، سوئد ، 2-4 سپتامبر 1998 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.
ICANN، کنفرانس بینالمللی شبکههای عصبی مصنوعی، مجموعه کنفرانسهای رسمی انجمن شبکههای عصبی اروپاست که در سال 1991 در هلسینکی آغاز شد. از آن زمان ICANN در برایتون، آمستردام، سورنتو، پاریس، بوخوم و لوزان برگزار شده است. و به گردهمایی بزرگ اروپا در زمینه شبکه های عصبی تبدیل شده است. این کتاب شامل مجموعه مقالات ICANN 98 است که در 2-4 سپتامبر 1998 در Skovde، سوئد برگزار شد. از 340 ارسالی به ICANN 98، 180 مورد برای انتشار و ارائه در کنفرانس پذیرفته شد. علاوه بر این، این کتاب شامل هفت مقاله دعوت شده ارائه شده در کنفرانس است. بدیهی است که کنفرانسی به این اندازه توسط سه نفر به تنهایی سازماندهی نشده است. بنابراین مایلیم از افراد و سازمانهای زیر برای حمایت از ICANN 98 به هر طریقی تشکر کنیم: • انجمن شبکههای عصبی اروپا و انجمن شبکههای عصبی سوئد برای حمایت فعالشان در سازماندهی این کنفرانس، • کمیته برنامه و همه داوران برای کار سخت و به موقع که برای تولید بیش از 900 بررسی در طول آوریل 1998 مورد نیاز بود، • کمیته راهبری که در مه 1998 در Skovde برای انتخاب نهایی مقالات و تهیه برنامه کنفرانس تشکیل جلسه داد، • سایر روسای ماژول ها : بنگت اسکر (صنعت و تحقیق)، هارالد برانت (کاربردها)، اندرس لنسنر (عصب شناسی محاسباتی و نظریه مغز)، تورشتاین روگنوالدسون (نظریه)، نوئل شارکی (رئیس مشترک رباتیک خودمختار و رفتار تطبیقی)، برتیل اسونسون (سخت افزار و تطبیق) ، • دبیر کنفرانس، لیلا خمری، و بقیه
ICANN, the International Conference on Artificial Neural Networks, is the official conference series of the European Neural Network Society which started in Helsinki in 1991. Since then ICANN has taken place in Brighton, Amsterdam, Sorrento, Paris, Bochum and Lausanne, and has become Europe's major meeting in the field of neural networks. This book contains the proceedings of ICANN 98, held 2-4 September 1998 in Skovde, Sweden. Of 340 submissions to ICANN 98, 180 were accepted for publication and presentation at the conference. In addition, this book contains seven invited papers presented at the conference. A conference of this size is obviously not organized by three individuals alone. We therefore would like to thank the following people and organizations for supporting ICANN 98 in one way or another: • the European Neural Network Society and the Swedish Neural Network Society for their active support in the organization of this conference, • the Programme Committee and all reviewers for the hard and timely work that was required to produce more than 900 reviews during April 1998, • the Steering Committee which met in Skovde in May 1998 for the final selection of papers and the preparation of the conference program, • the other Module Chairs: Bengt Asker (Industry and Research), Harald Brandt (Applications), Anders Lansner (Computational Neuroscience and Brain Theory), Thorsteinn Rognvaldsson (Theory), Noel Sharkey (co chair Autonomous Robotics and Adaptive Behavior), Bertil Svensson (Hardware and Implementations), • the conference secretary, Leila Khammari, and the rest of the
Front Matter....Pages I-XIV
Front Matter....Pages 1-1
(Back) Towards Diagrammatic Representation and Reasoning in a Connectionist Framework (Extended Abstract)....Pages 3-12
Variational Learning in Graphical Models and Neural Networks....Pages 13-22
Synchronization: The Computational Currency of Cognition....Pages 23-40
Applications of Vapnik’s Theory for Prediction....Pages 41-50
Brains, Gases and Robots....Pages 51-63
Self-Organization of Very Large Document Collections: State of the Art....Pages 65-74
Silicon Artificial Neural Networks....Pages 75-84
Front Matter....Pages 85-85
Efficient Top-Down Jacobian Evaluation of Tree-Structured Neural Networks....Pages 87-92
Tractable Undirected Approximations for Graphical Models....Pages 93-98
Convex Cost Functions for Support Vector Regression....Pages 99-104
Asymptotically Optimal Choice of ε-Loss for Support Vector Machines....Pages 105-110
Support Vector Regression with Automatic Accuracy Control....Pages 111-116
Queuing theory for spike driven synaptic dynamics....Pages 117-122
The Deformable Feature Map — Adaptive Plasticity for Function Approximation....Pages 123-128
Asymptotic Behavior of a Neural Network with Dynamic External Input....Pages 129-134
Independent Component Analysis for Time-dependent Stochastic Processes....Pages 135-140
Denoising of Sensory Data by Maximum Likelihood Estimation of Sparse Components....Pages 141-146
Kernel PCA Pattern Reconstruction via Approximate Pre-Images....Pages 147-152
The Pearson Mixture Model for Cluster Analysis and Data Visualisation....Pages 153-158
Why feed-forward networks are in a bad shape....Pages 159-164
Front Matter....Pages 85-85
Transients and Asymptotics of Natural Gradient Learning....Pages 165-170
An Analysis of Convergence in Generalized LVQ....Pages 171-176
Ultrametric Structure in Autoencoder Error Surfaces....Pages 177-182
The Dynamics of Matrix Momentum....Pages 183-188
Dynamics of Batch Learning in Multilayer Neural Networks....Pages 189-194
An asymptotic analysis of AdaBoost in the binary classification case....Pages 195-200
Least Absolute Shrinkage is Equivalent to Quadratic Penalization....Pages 201-206
Front Matter....Pages 207-207
Neural Network Modelling of Ore Grade Spatial Variability....Pages 209-214
Neural Virtual Sensors — Estimation of Combustion Quality in SI Engines using the Spark Plug....Pages 215-220
Real-time ion temperature profiles in the JET nuclear fusion experiment....Pages 221-226
Detection of Spatio-Temporal Ultrasonic Transient Families Using Filter Banks and Neural Nets....Pages 227-232
Object Recognition with Multiple Feature Types....Pages 233-238
Learning Gestures with Time-Delay RBF Networks....Pages 239-244
Comparison of Adaptive Strategies for On-Line Character Recognition....Pages 245-250
A Binary Correlation Matrix Memory k -NN Classifier....Pages 251-256
Multinet: A New Connectionist Architecture for Speech Recognition....Pages 257-262
Simulation Support and ATM Performance Prediction....Pages 263-268
TDNN Approach to Measuring Raindrop Sizes and Velocities....Pages 269-274
Optimizing the Evidence....Pages 275-280
Adapting an Ensemble Approach for the Diagnosis of Breast Cancer....Pages 281-286
Front Matter....Pages 207-207
Independent Component Analysis in Wave Decomposition of Auditory Evoked Fields....Pages 287-292
Experiments in Gait Pattern Classification with Neural Networks of Adaptive Architecture....Pages 293-298
Using Feature Selection to Find Inputs that Work Better as Extra Outputs....Pages 299-304
Analysis of Multi-Choice Questionnaires through Self-Organizing Maps....Pages 305-310
A Niching Genetic Algorithm for Selecting Features for Neural Network Classifiers....Pages 311-316
The Wavelet Transform for Time Series Prediction....Pages 317-322
Empirical Evaluation of Bayesian Sampling for Neural Classifiers....Pages 323-328
Front Matter....Pages 329-329
State-dependent Spatio-temporal Restructuring of Receptive Fields in the Primary Visual Pathway....Pages 331-336
Frequency Spectrum of Coupled Stochastic Neurons with Refractoriness....Pages 337-342
Analysing the Context Dependence of Receptive Fields in Visual Cortex....Pages 343-348
A Neural Model of Stereopsis....Pages 349-354
Continuous Dynamics of Neuronal Delay Adaptation....Pages 355-360
The Critical Synaptic Number for Rhythmogenesis and Synchronization in a Network Model of the Cerebellar Granular Layer....Pages 361-366
A Model of Cortical Plasticity: Integration and Segregation based on Temporal Input Patterns....Pages 367-372
Self-Organisation and Cortical Dynamics....Pages 373-378
Front Matter....Pages 379-379
Continuous Time Recurrent Neural Networks for Grammatical Induction....Pages 381-386
Encoding Structure in Boolean Space....Pages 387-392
Non-compositional Representation in Connectionist Networks....Pages 393-398
A connectionist model for categorical perception and symbol grounding....Pages 399-404
Enriched lexical representations, large corpora, and the performance of SRNs....Pages 405-410
Front Matter....Pages 411-411
Using Focus to Direct Environmental Mapping....Pages 413-418
A biologically inspired adaptive control architecture based on neural networks for a four-legged walking machine....Pages 419-424
2-D Pole Balancing with Recurrent Evolutionary Networks....Pages 425-430
GripSee: A Robot for Visually-Guided Grasping....Pages 431-436
Dynamics of a Classical Conditioning Model....Pages 437-442
CMAC Models Learn to Play Soccer....Pages 443-448
Pseudo-Parametric Q-Learning using Feedforward Neural Networks....Pages 449-454
Continuous Q-Learning Resource Allocation Network....Pages 455-460
Front Matter....Pages 461-461
Sparse Distributed Memory Mapping on Partial Tree Shape Neurocomputer....Pages 463-468
PRESENCE, a hardware implementation of binary neural networks....Pages 469-474
Analog VLSI implementation of a spike driven stochastic dynamical synapse....Pages 475-480
Neural Dynamics in Real-Time for Large Scale Biomorphic Neural Networks....Pages 481-486
Front Matter....Pages 491-491
A Study on Functional-Link Neural Units with Maximum Entropy Response....Pages 493-498
Mean Field Theory based on Belief Networks for Approximate Inference....Pages 499-504
On the Use of Local RBF Networks to Approximate Multivalued Functions and Relations....Pages 505-510
Learning Higher Order Boltzmann Machines using Linear Response....Pages 511-516
Order Parameters for Self-Organizing Maps....Pages 517-522
Slope Centering: Making Shortcut Weights Effective....Pages 523-528
Constrained Second-Order Recurrent Networks for Finite-State Automata Induction....Pages 529-534
Exact Learning Curves for EKF Training....Pages 535-540
Front Matter....Pages 491-491
Sparse Regression: Utilizing the Higher-order Structure of Data for Prediction....Pages 541-546
A Linear Programming Neural Circuit Model....Pages 547-553
Learning Invariance Manifolds....Pages 555-560
Developmental Evolution of an Edge Detecting Retina....Pages 561-566
Activity Driven Update in the Neural Abstraction Pyramid....Pages 567-572
Jacobian Neural Network Learning Algorithms....Pages 573-578
Quadratic Concepts....Pages 579-584
Complexity of Boolean Computations for a Spiking Neuron....Pages 585-590
Unsupervised Time Series Segmentation by Predictive Modular Neural Networks....Pages 591-596
ICE — an Incremental Hybrid System for Continuous Learning....Pages 597-602
Synthesis of Probabilistic Automata in p RAM Neural Networks....Pages 603-608
Neural Modeling of Nonlinear Differential Equations with Discrete Measurements A Lagrangian Approach....Pages 609-614
Simple Synchrony Networks : Learning to Parse Natural Language with Temporal Synchrony Variable Binding....Pages 615-620
Gaussian Processes for Switching Regimes....Pages 621-626
Artificial Neural Networks as Approximators of Stochastic Processes....Pages 627-632
Piecewise Affine Neural Networks and Nonlinear Control....Pages 633-638
Some Complexity Results for Perceptron Networks....Pages 639-644
Multilayer Neural Networks for Classification: A Pedagogical Theorem....Pages 645-650
An Experimental Comparison of Neural ICA Algorithms....Pages 651-656
The Principal Independent Components of Images....Pages 657-662
Front Matter....Pages 491-491
Pattern Formation in Locally Connected Oscillatory Networks....Pages 663-668
LOCOCODE versus PCA and ICA....Pages 669-674
TDSEP — an efficient algorithm for blind separation using time structure....Pages 675-680
Optimal Cross-Validation Split Ratio: Experimental Investigation....Pages 681-686
On the Convergence Properties of the Temporal Kohonen Map and the Recurrent Self-Organizing Map....Pages 687-692
Multivariate Linear Regression on Classifier Outputs: a Capacity Study....Pages 693-698
Front Matter....Pages 699-699
Automated Statistical Recognition of Partial Discharges in Insulation Systems....Pages 701-706
A Radar System with Phase-Sensitive Millimetric Wave Circuitry and Complex-Amplitude Neural Processing....Pages 707-712
Chances and Risks of Sensor Fusion with Neural Networks: An Application Example....Pages 713-718
Support objects for domain approximation....Pages 719-724
A Comparison of Traditional and Soft-Computing Methods in a Real-Time Control Application....Pages 725-730
Efficient Local Subspace Construction for Neural Data Modeling....Pages 731-736
Edge Detection of Multispectral Images Using the 1-D Self-Organizing Map....Pages 737-742
Design of Cellular Neural Networks for Binary and Gray Level Image Processing....Pages 743-748
Adaptive Illuminant Estimation Using Neural Networks....Pages 749-754
Automatic neural generalized font identification....Pages 755-760
An Approach to Blind Source Separation of Speech Signals....Pages 761-766
Data Fusion for Diagnosis in a Telecommunication Network....Pages 767-772
Creating an Order in Distributed Digital Libraries by Integrating Independent Self-Organizing Maps....Pages 773-778
Competitive Learning for Binary Valued Data....Pages 779-784
Front Matter....Pages 699-699
Neural Network-Based Inferential Sensing....Pages 785-790
Retina Encoder Inversion for Retina Implant Simulation....Pages 791-796
The Automated Identification of Tubercle Bacilli using Image Processing and Neural Computing Techniques....Pages 797-802
Black-Box Software Sensor Design for Environmental Monitoring....Pages 803-808
Classifying Regional Seismic Signals Using TDDN-alike Neural Networks....Pages 809-814
A hierarchical self-organizing map model for sequence recognition....Pages 815-820
Discrete Time Backpropagation and Synaptic Delay Based Artificial Neural Networks in Chaotic Time Series Prediction....Pages 821-826
A Learning Method of Fuzzy Inference Rules Using Vector Quantization....Pages 827-832
Mixed Fuzzy-system and Artificial Neural Network Approach to the Automated Recognition of Mouth Expressions....Pages 833-838
COMVIS: A communication framework for computer vision....Pages 839-844
Implementing a Hybrid Architecture for Artificial Neural Network Applications....Pages 845-850
Application of ANN to the Selection of a Valve from the Catalogue....Pages 851-856
A Neural Network Approach to Functional MRI Pattern Analysis — Clustering of Time-Series by Hierarchical Vector Quantization....Pages 857-862
Penalized Training for Serially Correlated Data....Pages 863-868
Gaussian Mixture and Kernel Based Approaches to Blind Separation of Sources Using Neural Nets....Pages 869-874
The Adaptive Setback Thermostat....Pages 875-880
Architecture Optimization in Feedforward Connectionist Models....Pages 881-886
Neural Velocity Force Control for Industrial Manipulators Contacting Rigid Surfaces....Pages 887-892
Neural Trajectory Optimization (NTO) for Manipulator Tracking of Unknown Surfaces....Pages 893-898
Computer Network User Behaviour Visualisation Using Self Organising Maps....Pages 899-904
Front Matter....Pages 699-699
Neural Control of a Virtual Prosthesis....Pages 905-910
Adaptive Clustering and Multidimensional Scaling of Large and Highdimensional Data Sets....Pages 911-916
Behavior of the Weights of a Support Vector Machine as a function of the Regularization Parameter C ....Pages 917-922
Convergence Properties of a Modified Temporal Anti-Hebbian Model....Pages 923-928
Volatility Prediction with Mixture Density Networks....Pages 929-934
Introducing a Clustering Technique into Recurrent Neural Networks for Solving Large-Scale Traveling Salesman Problems....Pages 935-940
Front Matter....Pages 941-941
Comparing Different Measures of Spatio-Temporal Patterns in Neural Activity....Pages 943-948
Influence of Recurrent Excitation and Inhibition on Receptive Field Size and Contrast Sensitivity in Layer 4C of Macaque Striate Cortex....Pages 949-954
Self-Organization of Shift-Invariant Receptive Fields through Pre- and Post-Synaptic Competition....Pages 955-960
A Cortical Interpretation of ASSOMs....Pages 961-966
Decoding Population Responses in Short Epochs....Pages 967-972
Modeling Reward Dependent Activity Pattern of Caudate Neurons....Pages 973-978
Neural Signalling: It’s a Gas!....Pages 979-984
Fast Learning of Dynamic Compensation in Motor Control....Pages 985-990
A One-dimensional Frequency Map Implemented using a Network of Integrate-and-fire Neurons....Pages 991-996
The role of spatio-temporal neural response characteristics in the formation of synchrony....Pages 997-1002
Three-Layered Neural Model between Cortical areas V1 and IT....Pages 1003-1008
An Interruptible Connectionist Model for Real-Time Pattern Recognition....Pages 1009-1013
Implementation of Tunable Receptive Field (RF) Filters for Learning Retina Implants....Pages 1015-1020
Rate and Temporal Coding with a Neural Oscillator....Pages 1021-1026
Front Matter....Pages 941-941
Phase Transitions in Even Cyclic Inhibitory Networks....Pages 1027-1032
The Basal Ganglia viewed as an Action Selection Device....Pages 1033-1038
Parameters Estimation in the Diffusion Model for Multidimensional Neural Data....Pages 1039-1044
Asynchronous simulation of large networks of spiking neurons and dynamical synapses....Pages 1045-1050
Novelty Learning in a Discrete Time Chaotic Network....Pages 1051-1056
Spike-Based Hebbian Learning for Stimulus Discrimination....Pages 1057-1062
Front Matter....Pages 1063-1063
What Type of Finite Computations Do Recurrent Neural Networks Perform?....Pages 1065-1070
Statistical Estimation in Conceptual Spaces....Pages 1071-1076
A Connectionist account of Spanish determiner production....Pages 1077-1082
Learning Decompositional Structures in a Network of Max-Π Units with Exponents as Connection Strengths....Pages 1083-1088
Fuzzy Heterogeneous Neural Networks for Signal Forecasting....Pages 1089-1094
Front Matter....Pages 1095-1095
Behavioural Coordination in Acoustically Coupled Agents....Pages 1097-1102
Self-Localization by Hidden Representations....Pages 1103-1108
Reinforcement Learning of Collision-free Motions for a Robot Arm with a Sensing Skin....Pages 1109-1114
Multitask Pattern Recognition for Vision-Based Autonomous Robots....Pages 1115-1120
Three Principles of Hierarchical Task Composition in Reinforcement Learning....Pages 1121-1126
On-line EM Algorithm and Reinforcement Learning....Pages 1127-1132
Embedding Knowledge in Reinforcement Learning....Pages 1133-1138
Multistage STM in a Multilayer Hebbian Learning Architecture for Local Navigation....Pages 1139-1144
Diploid Robots Adapting to Fast Changing Environments....Pages 1145-1150
Front Matter....Pages 1095-1095
Dynamical Adaptation of a Neural-Net Based Agent....Pages 1151-1156
Front Matter....Pages 1157-1157
A Reconfigurable Neuroprocessor with On-chip Pruning....Pages 1159-1164
Laser Neural Network Demonstrates Data Switching Functions....Pages 1165-1170
A New Stochastic Learning Algorithm for Analog Hardware Implementation....Pages 1171-1176
An Analog Neural Signal Processor for Embedded Applications....Pages 1177-1182
The NeuroAccess System....Pages 1183-1188
Recognizing Handwritten Digits with a Dedicated Analog VLSI Feature Extractor....Pages 1189-1194
Back Matter....Pages 1195-1198