Artificial neural networks - ICANN 96 : 1996 [6th] International Conference Bochum, Germany, July 16 19, 1996 : proceedings
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 abs...
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| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
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Berlin [etc.] :
Springer
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Cham : Springer Nature |
| Seri Bilgileri: | Lecture Notes in Computer Science
1112 |
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| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Artificial neural networks, ICANN 96, 6th international conference, Bochum, Germany, July 16-19, 1996, proceedings, C. von der Malsburg, W. von Seelen, J.-C. Vorbrüggen ... [et al.], eds, 1996, New York, Springer, 1 vol. (922 p.), Lecture notes in computer science, 3-540-61510-5 • Artificial Neural Networks - ICANN 96, Texte imprimé, 9783662167229 |
İçindekiler:
- Application of Artificial Neural Networks in Particle Physics
- Evolutionary computation History, status, and perspectives
- Temporal structure of cortical activity
- SEE-1 A vision system for use in real world environments
- Towards integration of nerve cells and silicon devices
- Unifying perspectives on neuronal codes and processing
- Visual recognition based on coding in temporal cortex: Analysis of pattern configuration and generalisation across viewing conditions without mental rotation
- A novel encoding strategy for associative memory
- Autoassociative memory with high storage capacity
- Information efficiency of the associative net at arbitrary coding rates
- Efficient learning in sparsely connected Boltzmann machines
- Incorporating invariances in support vector learning machines
- Estimating the reliability of neural network classifications
- Bayesian inference of noise levels in regression
- Complexity reduction in probabilistic neural networks
- Asymptotic complexity of an RBF NN for correlated data representation
- Regularization by early stopping in single layer perceptron training
- Clustering in weight space of feedforward nets
- Learning curves of on-line and off-line training
- Learning structure with Many-Take-All networks
- Dynamic feature linking in stochastic networks with short range interactions
- Collective dynamics of a system of adaptive velocity channels
- Local linear model trees for on-line identification of time-variant nonlinear dynamic systems
- Nonparametric data selection for improvement of parametric neural learning: A cumulant-surrogate method
- Prediction of mixtures
- Learning dynamical systems produced by recurrent neural networks
- Purely local neural Principal Component and Independent Component Learning
- How fast canneuronal algorithms match patterns?
- An annealed neural gas network for robust vector quantization
- Associative completion and investment learning using PSOMs
- GTM: A principled alternative to the Self-Organizing Map
- Creating term associations using a hierarchical ART architecture
- Architecture selection through statistical sensitivity analysis
- Regression by topological map: Application on real data
- Signal processing by neural networks to create virtual sensors and model-based diagnostics
- Development of an advisory system based on a neural network for the operation of a coal fired power plant
- Blast furnace analysis with neural networks
- Diagnosis tools for telecommunication network traffic management
- Adaptive saccade control of a Binocular Head with Dynamic Cell Structures
- Learning fine motion by using the Hierarchical Extended Kohonen Map
- Subspace dimension selection and averaged learning subspace method in handwritten digit classification
- A dual route neural net approach to grapheme-to-phoneme conversion
- Separating EEG spike-clusters in epilepsy by a growing and splitting net
- Optimal texture feature selection for the co-occurrence map
- Comparison of view-based object recognition algorithms using realistic 3D models
- Color-calibration of a robot vision system using self-organizing feature maps
- Neural network model for maximum ozone concentration prediction
- Very large two-level SOM for the browsing of newsgroups
- Automatic Part-Of-Speech tagging of Thai corpus using neural networks
- Reproducing a subjective classification scheme for atmospheric circulation patterns over the United Kingdom using a neural network
- Two gradient descent algorithms for blind signal separation
- Classification rejection by prediction.-Application of Radial Basis Function Neural Networks to odour sensing using a broad specificity array of conducting polymers
- A hybrid object recognition architecture
- Robot learning in analog neural hardware
- Visual gesture recognition by a modular neural system
- Tracking and learning graphs on image sequences of faces
- Neural network model recalling spatial maps
- Neural field dynamics for motion perception
- Analytical technique for deriving connectionist representations of symbol structures
- Modeling human word recognition with sequences of artificial neurons
- A connectionist variation on inheritance
- Mapping of multilayer perceptron networks to partial tree shape parallel neurocomputer
- Linearly expandable partial tree shape architecture for parallel neurocomputer
- A high-speed scalable CMOS current-mode Winner-Take-All network
- An architectural study of a massively parallel processor for convolution-type operations in complex vision tasks
- FPGA implementation of an adaptable-size neural network
- Extraction of coherent information from non-overlapping receptive fields
- Cortico-tectal interactions in the cat visual system
- Detecting and measuring higher order synchronization among neurons: A Bayesian approach
- Analyzing the formation of structure in high-dimensional Self-Organizing Maps reveals differences to feature map models
- Precise restoration of cortical orientation maps explained by hebbian dynamics of geniculocortical connections
- Modification of Kohonen's SOFM to simulate cortical plasticity induced by coactivation input patterns
- Cortical map development driven by spontaneous retinal activity waves
- Simplifying neural networks for controlling walking by exploiting physical properties
- Saccade control through the collicular motor map:Two-dimensional neural field model
- Plasticity of neocortical synapses enables transitions between rate and temporal coding
- Controlling the speed of synfire chains
- Temporal compositional processing by a DSOM hierarchical model
- A genetic model and the Hopfield networks
- Desaturating coefficient for projection learning rule
- Getting more information out of SDM
- Using a general purpose meta neural network to adapt a parameter of the quickpropagation learning rule
- Unsupervised learning of the minor subspace
- A unification of Genetic Algorithms, Neural Networks and Fuzzy Logic: The GANNFL Approach
- Active learning of the generalized high-low-game
- Optimality of pocket algorithm
- Improvements and extensions to the constructive algorithm CARVE
- Annealed RNN learning of finite state automata
- A hierarchical learning rule for independent component analysis
- Improving neural network training based on Jacobian rank deficiency
- Neural networks for exact constrained optimization
- Capacity of structured multilayer networks with shared weights
- Optimal weight decay in a perceptron
- Bayesian regularization in constructive neural networks
- A nonlinear discriminant algorithm for data projection and feature extraction
- A modified spreading algorithm for autoassociation in weightless neural networks
- Analysis of multi-fluorescence signals using a modified Self-Organizing Feature Map
- Visualizing similarities in high dimensional input spaces with a growing and splitting neural network
- A neural lexical post-processor for improved neural predictive word recognition
- Solving nonlinear MBPC through convex optimization: A comparative study using neural networks
- Combining statistical models for protein secondary structure prediction
- Using RBF-nets in rubber industry process control
- Towards autonomous robot control via self-adapting recurrent networks
- A hierarchical network for learning robust models of kinematic chains
- Context-based cognitive map learning for an autonomous robot using a model of cortico-hippocampal interplay
- An algorithm for bootstrapping the core of a biologically inspired motor control system
- Automatic recalibration of a space robot: An industrial prototype
- Population coding in cat visual cortex reveals nonlinear interactions as predicted by a neural field model
- Representing multidimensional stimuli on the cortex
- An analysis and interpretation of the oscillatory behaviour of a model of the granular layer of the cerebellum
- The cerebellum as a coupling machine
- The possible function of dopamine in associative learning: A computational model
- Signatures of dynamic cell assemblies in monkey motor cortex
- Modelling speech processing and recognition in the auditory system with a three-stage architecture
- Binding A proposed experiment and a model
- A reduced model for dendritic trees with active membrane
- Stabilizing competitive learning during on-line training with an anti-Hebbian weight modulation
- Neuro-biological bases for spatio-temporal data coding in artificial neural networks
- A spatio-temporal learning rule based on the physiological data of LTP induction in the hippocampal CA1 network
- Learning novel views to a single face image
- A parallel algorithm for depth perception from radial optical flow fields
- Comparing facial line drawings with gray-level images: A case study on PHANTOMAS
- Geometrically constrained optical flow estimation by an Hopfield neural network
- Serial binary addition with polynormally bounded weights
- Evaluation of the two differentinterconnection networks of the CNAPS neurocomputer
- Intrinsic and parallel performances of the OWE neural network architecture
- An analog CMOS neural network with on-chip learning and multilevel weight storage
- Exponential hebbian on-line learning implemented in FPGAs
- An information-theoretic measure for the classification of time series
- Transformation of neural oscillators
- Analysis of drifting dynamics with competing predictors
- Inverse dynamics controllers for robust control: Consequences for neurocontrollers
- A local connected neural oscillator network for pattern segmentation
- Approximation errors of state and output trajectories using recurrent neural networks
- Comparing self-organizing maps
- Nonlinear Independent Component Analysis by self-organizing maps
- Building nonlinear data models with self-organizing maps
- A parameter-free non-growing self.