A novel method for structure selection of the Recurrent Random Neural Network using multiobjective optimisation-Reference-Cited by-同舟云学术

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A novel method for structure selection of the Recurrent Random Neural Network using multiobjective optimisation

Published:2019-03 Issue: Volume:76 Page:607-614
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Nepomuceno Erivelton G.^ORCID

Funder

CNPq/INERGE, Brazil

Publisher

Elsevier BV

Subject

Software

Reference59 articles.

1. Random neural networks with negative and positive signals and product form solution;Gelenbe;Neural Comput.,1989

2. Stability of the random neural network model;Gelenbe;Neural Comput.,1990

3. Sequential spiking neural p systems with structural plasticity based on max/min spike number;Cabarle;Neural Comput. Appl.,2016

4. Random neural network model for supervised learning problems;Basterrech;Neural Netw. World,2015

5. Learning in the recurrent random neural network;Gelenbe;Neural Comput.,1993

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