Modeling distributed concept representation in Hopfield neural networks.
type: Item
instance of: scholarly article
title: Modeling distributed concept representation in Hopfield neural networks.
zbMATH Open document ID: 1044.68717
DOI: 10.1016/S0895-7177(99)00126-0
author: L. A. V. Carvalho
published in: Mathematical and Computer Modelling
publication date: 2002-05-05T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 92B20
zbMATH DE Number: 1737696
zbMATH Keywords: Learning
zbMATH Keywords: Knowledge representation
zbMATH Keywords: Neural networks
MaRDI profile type: Publication
cites work: Self-organization and associative memory
cites work: An Adaptive Associative Memory Principle
cites work: Neural Network Design for Efficient Information Retrieval
cites work: Q4125819
cites work: Neural networks and physical systems with emergent collective computational abilities.
cites work: Q5519782
cites work: Q5595902
cites work: A logical calculus of the ideas immanent in nervous activity
cites work: Neurons with graded response have collective computational properties like those of two-state neurons.
cites work: ``Neural'' computation of decisions in optimization problems
cites work: Optimization by Simulated Annealing
cites work: Q5606390
cites work: Q5541280
cites work: Convergence and finite-time behavior of simulated annealing
cites work: The N-City Travelling Salesman Problem: Statistical Mechanics and the Metropolis Algorithm
cites work: Thermodynamical approach to the travelling salesman problem: An efficient simulation algorithm
cites work: Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
cites work: The Monte Carlo Method
cites work: Equation of State Calculations by Fast Computing Machines
description: scientific article; zbMATH DE number 1737696