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دسته بندی: کنفرانس ها و همایش های بین المللی ویرایش: 1 نویسندگان: Hermann Kolanoski (auth.), Christoph von der Malsburg, Werner von Seelen, Jan C. Vorbrüggen, Bernhard Sendhoff (eds.) سری: Lecture Notes in Computer Science 1112 ISBN (شابک) : 3540615105, 9783540615101 ناشر: Springer-Verlag Berlin Heidelberg سال نشر: 1996 تعداد صفحات: 938 زبان: English فرمت فایل : DJVU (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 11 مگابایت
کلمات کلیدی مربوط به کتاب شبکه های عصبی مصنوعی - ICANN 96: کنفرانس بین المللی 1996 بوخوم ، آلمان ، 16 تا 19 ژوئیه ، مجموعه مقالات 1996: محاسبات با دستگاه های انتزاعی، شبکه های ارتباطی کامپیوتری، هوش مصنوعی (شامل رباتیک)، تشخیص الگو، علوم اعصاب، روش های ریاضی در فیزیک
در صورت تبدیل فایل کتاب Artificial Neural Networks — ICANN 96: 1996 International Conference Bochum, Germany, July 16–19, 1996 Proceedings 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 - ICANN 96: کنفرانس بین المللی 1996 بوخوم ، آلمان ، 16 تا 19 ژوئیه ، مجموعه مقالات 1996 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 کتاب مجموعه مقالات داوری ششمین کنفرانس بینالمللی شبکههای عصبی مصنوعی - ICANN 96 است که در بوخوم، آلمان در ژوئیه 1996 برگزار شد. سه بررسی؛ همچنین چکیدهای از شش گفتگوی عمومی دعوتشده در آن گنجانده شده است. در مجموع، مجموعه مقالات ارائه شده نشان دهنده وضعیت هنر در زمینه ANN است. در میان موضوعات و حوزههای تحت پوشش، طیف وسیعی از جنبههای نظری، کاربردها در زمینههای مختلف، پردازش حسی، علوم شناختی و هوش مصنوعی، اجراها و زیستشناسی عصبی وجود دارد.
This book constitutes the refereed proceedings of the sixth
International Conference on Artificial Neural Networks -
ICANN 96, held in Bochum, Germany in July 1996.
The 145 papers included were carefully selected from numerous
submissions on the basis of at least three reviews; also
included are abstracts of the six invited plenary talks. All
in all, the set of papers presented reflects the state of the
art in the field of ANNs. Among the topics and areas covered
are a broad spectrum of theoretical aspects, applications in
various fields, sensory processing, cognitive science and AI,
implementations, and neurobiology.
Application of Artificial Neural Networks in Particle Physics....Pages 1-14
Evolutionary computation — History, status, and perspectives....Pages 15-15
Temporal structure of cortical activity....Pages 16-16
SEE-1 — A vision system for use in real world environments....Pages 17-17
Towards integration of nerve cells and silicon devices....Pages 18-18
Unifying perspectives on neuronal codes and processing....Pages 19-19
Visual recognition based on coding in temporal cortex: Analysis of pattern configuration and generalisation across viewing conditions without mental rotation....Pages 20-20
A novel encoding strategy for associative memory....Pages 21-27
Autoassociative memory with high storage capacity....Pages 29-34
Information efficiency of the associative net at arbitrary coding rates....Pages 35-40
Efficient learning in sparsely connected Boltzmann machines....Pages 41-46
Incorporating invariances in support vector learning machines....Pages 47-52
Estimating the reliability of neural network classifications....Pages 53-58
Bayesian inference of noise levels in regression....Pages 59-64
Complexity reduction in probabilistic neural networks....Pages 65-70
Asymptotic complexity of an RBF NN for correlated data representation....Pages 71-76
Regularization by early stopping in single layer perceptron training....Pages 77-82
Clustering in weight space of feedforward nets....Pages 83-88
Learning curves of on-line and off-line training....Pages 89-94
Learning structure with Many-Take-All networks....Pages 95-100
Dynamic feature linking in stochastic networks with short range interactions....Pages 101-106
Collective dynamics of a system of adaptive velocity channels....Pages 107-114
Local linear model trees for on-line identification of time-variant nonlinear dynamic systems....Pages 115-120
Nonparametric data selection for improvement of parametric neural learning: A cumulant-surrogate method....Pages 121-126
Prediction of mixtures....Pages 127-132
Learning dynamical systems produced by recurrent neural networks....Pages 133-138
Purely local neural Principal Component and Independent Component Learning....Pages 139-144
How fast can neuronal algorithms match patterns?....Pages 145-150
An annealed ‘neural gas’ network for robust vector quantization....Pages 151-156
Associative completion and investment learning using PSOMs....Pages 157-164
GTM: A principled alternative to the Self-Organizing Map....Pages 165-170
Creating term associations using a hierarchical ART architecture....Pages 171-177
Architecture selection through statistical sensitivity analysis....Pages 179-184
Regression by topological map: Application on real data....Pages 185-190
Signal processing by neural networks to create “virtual” sensors and model-based diagnostics....Pages 191-196
Development of an advisory system based on a neural network for the operation of a coal fired power plant....Pages 197-202
Blast furnace analysis with neural networks....Pages 203-208
Diagnosis tools for telecommunication network traffic management....Pages 209-214
Adaptive saccade control of a Binocular Head with Dynamic Cell Structures....Pages 215-220
Learning fine motion by using the Hierarchical Extended Kohonen Map....Pages 221-226
Subspace dimension selection and averaged learning subspace method in handwritten digit classification....Pages 227-232
A dual route neural net approach to grapheme-to-phoneme conversion....Pages 233-238
Separating EEG spike-clusters in epilepsy by a growing and splitting net....Pages 239-244
Optimal texture feature selection for the co-occurrence map....Pages 245-250
Comparison of view-based object recognition algorithms using realistic 3D models....Pages 251-256
Color-calibration of a robot vision system using self-organizing feature maps....Pages 257-262
Neural network model for maximum ozone concentration prediction....Pages 263-268
Very large two-level SOM for the browsing of newsgroups....Pages 269-274
Automatic Part-Of-Speech tagging of Thai corpus using neural networks....Pages 275-280
Reproducing a subjective classification scheme for atmospheric circulation patterns over the United Kingdom using a neural network....Pages 281-286
Two gradient descent algorithms for blind signal separation....Pages 287-292
Classification rejection by prediction....Pages 293-298
Application of Radial Basis Function Neural Networks to odour sensing using a broad specificity array of conducting polymers....Pages 299-304
A hybrid object recognition architecture....Pages 305-310
Robot learning in analog neural hardware....Pages 311-316
Visual gesture recognition by a modular neural system....Pages 317-322
Tracking and learning graphs on image sequences of faces....Pages 323-328
Neural network model recalling spatial maps....Pages 329-334
Neural field dynamics for motion perception....Pages 335-340
Analytical technique for deriving connectionist representations of symbol structures....Pages 341-346
Modeling human word recognition with sequences of artificial neurons....Pages 347-352
A connectionist variation on inheritance....Pages 353-358
Mapping of multilayer perceptron networks to partial tree shape parallel neurocomputer....Pages 359-364
Linearly expandable partial tree shape architecture for parallel neurocomputer....Pages 365-370
A high-speed scalable CMOS current-mode Winner-Take-All network....Pages 371-376
An architectural study of a massively parallel processor for convolution-type operations in complex vision tasks....Pages 377-382
FPGA implementation of an adaptable-size neural network....Pages 383-388
Extraction of coherent information from non-overlapping receptive fields....Pages 389-394
Cortico-tectal interactions in the cat visual system....Pages 395-399
Detecting and measuring higher order synchronization among neurons: A Bayesian approach....Pages 401-407
Analyzing the formation of structure in high-dimensional Self-Organizing Maps reveals differences to feature map models....Pages 409-414
Precise restoration of cortical orientation maps explained by hebbian dynamics of geniculocortical connections....Pages 415-419
Modification of Kohonen's SOFM to simulate cortical plasticity induced by coactivation input patterns....Pages 421-426
Cortical map development driven by spontaneous retinal activity waves....Pages 427-432
Simplifying neural networks for controlling walking by exploiting physical properties....Pages 433-438
Saccade control through the collicular motor map: Two-dimensional neural field model....Pages 439-444
Plasticity of neocortical synapses enables transitions between rate and temporal coding....Pages 445-450
Controlling the speed of synfire chains....Pages 451-456
Temporal compositional processing by a DSOM hierarchical model....Pages 457-462
A genetic model and the Hopfield networks....Pages 463-468
Desaturating coefficient for projection learning rule....Pages 469-476
Getting more information out of SDM....Pages 477-482
Using a general purpose meta neural network to adapt a parameter of the quickpropagation learning rule....Pages 483-488
Unsupervised learning of the minor subspace....Pages 489-494
A unification of Genetic Algorithms, Neural Networks and Fuzzy Logic: The GANNFL Approach....Pages 495-500
Active learning of the generalized high-low-game....Pages 501-506
Optimality of pocket algorithm....Pages 507-512
Improvements and extensions to the constructive algorithm CARVE....Pages 513-518
Annealed RNN learning of finite state automata....Pages 519-524
A hierarchical learning rule for independent component analysis....Pages 525-530
Improving neural network training based on Jacobian rank deficiency....Pages 531-536
Neural networks for exact constrained optimization....Pages 537-542
Capacity of structured multilayer networks with shared weights....Pages 543-550
Optimal weight decay in a perceptron....Pages 551-556
Bayesian regularization in constructive neural networks....Pages 557-562
A nonlinear discriminant algorithm for data projection and feature extraction....Pages 563-568
A modified spreading algorithm for autoassociation in weightless neural networks....Pages 569-574
Analysis of multi-fluorescence signals using a modified Self-Organizing Feature Map....Pages 575-580
Visualizing similarities in high dimensional input spaces with a growing and splitting neural network....Pages 581-586
A neural lexical post-processor for improved neural predictive word recognition....Pages 587-592
Solving nonlinear MBPC through convex optimization: A comparative study using neural networks....Pages 593-598
Combining statistical models for protein secondary structure prediction....Pages 599-604
Using RBF-nets in rubber industry process control....Pages 605-610
Towards autonomous robot control via self-adapting recurrent networks....Pages 611-616
A hierarchical network for learning robust models of kinematic chains....Pages 617-622
Context-based cognitive map learning for an autonomous robot using a model of cortico-hippocampal interplay....Pages 623-628
An algorithm for bootstrapping the core of a biologically inspired motor control system....Pages 629-634
Automatic recalibration of a space robot: An industrial prototype....Pages 635-640
Population coding in cat visual cortex reveals nonlinear interactions as predicted by a neural field model....Pages 641-648
Representing multidimensional stimuli on the cortex....Pages 649-654
An analysis and interpretation of the oscillatory behaviour of a model of the granular layer of the cerebellum....Pages 655-660
The cerebellum as a “coupling machine”....Pages 661-666
The possible function of dopamine in associative learning: A computational model....Pages 667-672
Signatures of dynamic cell assemblies in monkey motor cortex....Pages 673-678
Modelling speech processing and recognition in the auditory system with a three-stage architecture....Pages 679-684
Binding — A proposed experiment and a model....Pages 685-690
A reduced model for dendritic trees with active membrane....Pages 691-696
Stabilizing competitive learning during on-line training with an anti-Hebbian weight modulation....Pages 697-702
Neuro-biological bases for spatio-temporal data coding in artificial neural networks....Pages 703-708
A spatio-temporal learning rule based on the physiological data of LTP induction in the hippocampal CA1 network....Pages 709-714
Learning novel views to a single face image....Pages 715-719
A parallel algorithm for depth perception from radial optical flow fields....Pages 721-725
Comparing facial line drawings with gray-level images: A case study on PHANTOMAS....Pages 727-734
Geometrically constrained optical flow estimation by an Hopfield neural network....Pages 735-740
Serial binary addition with polynormally bounded weights....Pages 741-746
Evaluation of the two different interconnection networks of the CNAPS neurocomputer....Pages 747-753
Intrinsic and parallel performances of the OWE neural network architecture....Pages 755-760
An analog CMOS neural network with on-chip learning and multilevel weight storage....Pages 761-766
Exponential hebbian on-line learning implemented in FPGAs....Pages 767-772
An information-theoretic measure for the classification of time series....Pages 773-778
Transformation of neural oscillators....Pages 779-784
Analysis of drifting dynamics with competing predictors....Pages 785-790
Inverse dynamics controllers for robust control: Consequences for neurocontrollers....Pages 791-796
A local connected neural oscillator network for pattern segmentation....Pages 797-802
Approximation errors of state and output trajectories using recurrent neural networks....Pages 803-808
Comparing self-organizing maps....Pages 809-814
Nonlinear Independent Component Analysis by self-organizing maps....Pages 815-820
Building nonlinear data models with self-organizing maps....Pages 821-826
A parameter-free non-growing self-organizing map based upon gravitational principles: Algorithm and applications....Pages 827-832
Topological maps for mixture densities....Pages 833-838
A novel algorithm for image segmentation using time dependent interaction probabilities....Pages 839-843
Reconstruction from graphs labeled with responses of Gabor filters....Pages 845-850
Edge information: A confidence based algorithm emphazising continuous curves....Pages 851-856
Neural model of cortical dynamics in resonant boundary detection and grouping....Pages 857-862
A neural clustering algorithm for estimating visible articulatory trajectory....Pages 863-868
Binary spatter-coding of ordered K -tuples....Pages 869-873
A hybrid approach to natural language parsing....Pages 875-880
A self-organizing neural network approach for the acquisition of phonetic categories....Pages 881-886
Inward relearning: A step towards long-term memory....Pages 887-892
Neural modelling of cognitive disinhibition and neurotransmitter dysfunction in OCD....Pages 893-898
Confluent preorder parser as finite state automata....Pages 899-904
Modeling psychological stereotypes in self-organizing maps....Pages 905-910