Layered neural networks with non-monotonic transfer functions
type: Item
instance of: scholarly article
title: Layered neural networks with non-monotonic transfer functions
zbMATH Open document ID: 1001.68100
DOI: 10.1016/S0378-4371(02)01319-5
author: Katsuki Katayama
author: Yasuo Sakata
author: Tsuyoshi Horiguchi
published in: Physica A
publication date: 2002-11-26T00:00:00Z
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1835465
zbMATH Keywords: storage capacity
zbMATH Keywords: generalization ability
zbMATH Keywords: order-parameter recursion relations
MaRDI profile type: Publication
cites work: Modeling Brain Function
cites work: Q4000022
cites work: Generalization in a Hopfield network with noise
cites work: Generalization in a multi-state neural network
cites work: Generalization and chaos in a layered neural network
cites work: Feed-forward chains of recurrent attractor neural networks near saturation
cites work: Layered neural network with intra-layer connections using Q-states clock neurons
cites work: Retrieval phase diagrams of non-monotonic Hopfield networks
cites work: Neural networks and physical systems with emergent collective computational abilities.
cites work: Q4237477
description: scientific article; zbMATH DE number 1835465