Compensation type algorithms for neural nets: Stability and convergence
type: Item
instance of: scholarly article
title: Compensation type algorithms for neural nets: Stability and convergence
zbMATH Open document ID: 0715.92003
DOI: 10.1007/BF00275816
published in: Journal of Mathematical Biology
publication date: 1989-01-01T00:00:00Z
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 94C99
zbMATH DE Number: 4179176
zbMATH Keywords: neural modeling
zbMATH Keywords: McCulloch-Pitts networks
zbMATH Keywords: fixed points
zbMATH Keywords: average membrane potential
zbMATH Keywords: AMP
zbMATH Keywords: Plasticity of synaptic connections
zbMATH Keywords: temporal development of neural networks
zbMATH Keywords: memory
zbMATH Keywords: behavior
zbMATH Keywords: compensation type algorithm
zbMATH Keywords: connectivity
zbMATH Keywords: equilibrium state
zbMATH Keywords: existence of compensated networks
zbMATH Keywords: convergence
zbMATH Keywords: stability
zbMATH Keywords: simulations
zbMATH Keywords: cognitive systems
author: Ludwig J. Cromme
author: Ingolf E. Dammasch
MaRDI profile type: Publication
Wikidata QID: Q52118654
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description: scientific article; zbMATH DE number 4179176