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WSC
2000
13 years 11 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
NIPS
1997
13 years 11 months ago
A 1, 000-Neuron System with One Million 7-bit Physical Interconnections
An asynchronous PDM (Pulse-Density-Modulating) digital neural network system has been developed in our laboratory. It consists of one thousand neurons that are physically intercon...
Yuzo Hirai
IJCAI
1997
13 years 11 months ago
Extracting Propositions from Trained Neural Networks
This paper presents an algorithm for extract­ ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
Hiroshi Tsukimoto
NIPS
2000
13 years 11 months ago
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
Thomas Natschläger, Wolfgang Maass, Eduardo D...
NC
1998
140views Neural Networks» more  NC 1998»
13 years 11 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
NC
1998
102views Neural Networks» more  NC 1998»
13 years 11 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
NC
1998
170views Neural Networks» more  NC 1998»
13 years 11 months ago
Neural Network Supported Adaptation in Case-based Reasoning
: This paper describes a system, which integrates Neural Network (NN) models into adaptation circle of Case-based Reasoning (CBR) system. Neural Network supported adaptation can pr...
Yain-Whar Si, Otakar Babka
NC
1998
143views Neural Networks» more  NC 1998»
13 years 11 months ago
Spotting Arabic Phonetic Features Using Modular Connectionist Architectures and a Rule-Based System
This paper reports the results of experiments in complex Arabic phonetic features identification using a rulebased system (SARPH) and modular connectionist architectures. The firs...
Sid-Ahmed Selouani, Jean Caelen
NC
1998
101views Neural Networks» more  NC 1998»
13 years 11 months ago
Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
In this paper a new approach for approximation problems involving only few input and output parameters is presented and compared to traditional Backpropagation Neural Networks (BP...
Günther R. Raidl, Gabriele Kodydek
NC
1998
13 years 11 months ago
Tirano System with Learning Capacity for the Detection of Moving Targets
A system based on the charge-discharge characteristics of the neural synapses of the visual path, is shortly introduced. The proposed system uses the LSR (length/speed ratio) descr...
Miguel Angel Fernández, Antonio Ferná...