Apr 15, 2013 · This paper proposed a chaotic neural networks swarm optimization algorithm. It incorporates the particle swarm searching structure having global optimization ...
The proposed algorithm combines the advantages of traditional PSO, chaos and Hopfield neural networks: particles learn from their own experience and the ...
PDF | A new neural network based optimization algorithm is proposed. The presented model is a discrete-time, continuous-state Hopfield neural network.
Feb 7, 2013 · In this paper we propose a chaotic Hopfield neural network swarm optimization (CHNNSO) algorithm. The rest of the paper is organized as follows.
The proposed algorithm combines the advantages of traditional PSO, chaos andHopfield neural networks: particles learn fromtheir own experience and the ...
The proposed algorithm combines the advantages of traditional PSO, chaos and Hopfield neural networks: particles learn from their own experience and the ...
The proposed algorithm combines the advantages of traditional PSO, chaos and Hopfield neural networks: particles learn from their own experience and the ...
The proposed algorithm combines the advantages of traditional PSO, chaos and Hopfield neural networks: particles learn from their own experience and the ...
A new particle swarm optimization (PSO) algorithm having a chaotic Hopfield Neural Network (HNN) structure is proposed. Particles exhibit chaotic behaviour ...
People also ask
What is the application of Hopfield neural network?
What is the application of particle swarm optimization?
Why is the Hopfield network called as a recurrent neural network?
What is particle swarm optimization and what is the technique involved in this optimization?
Chaotic Hopfield Neural Network Swarm Optimization and Its Application. Yanxia Sun ； Zenghui Wang ； Barend Jacobus van Wyk. 《Journal of Applied Mathematics》 ...