An Incremental Algorithm for Parallel Training of the Size and theWeights in a Feedforward Neural Network

Authors:
Kateřina Hlaváčková-Schindler;Manfred M. Fischer
Affiliations:
Institute for Urban and Regional Research, Austrian Academy of Sciences, Postgasse 7/4/2, A–1010 Vienna, Austria;Department of Economic and Social Geography, Wirtschaftsuniversität Wien, Augasse 2–6, A–1090 Vienna, Austria manfred.m.fischer@oeaw.ac.at
Venue:
Neural Processing Letters
Year:
2000

Citing 2
Cited 2

Multilayer feedforward networks are universal approximators

Neural Networks
Representations and rates of approximation of real-valued Boolean functions by neural networks

Neural Networks

An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks

Neural Processing Letters
Heuristics for the selection of weights in sequential feed-forward neural networks: An experimental study

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents the definition of a formal data structure, which assists in the characterization of any neural paradigm, with no restriction, including higher-order networks. Within this model, a neural network is mathematically described by specifying ...