Chaotic Hopfield neural network swarm optimization and its application
From MaRDI portal
Publication:2375702
DOI10.1155/2013/873670zbMath1266.37053OpenAlexW1966648684WikidataQ56945449 ScholiaQ56945449MaRDI QIDQ2375702
Barend Jacobus Van Wyk, Yan-Xia Sun, Zeng-Hui Wang
Publication date: 14 June 2013
Published in: Journal of Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/873670
Cites Work
- Optimization by Simulated Annealing
- Artificial intelligence techniques: An introduction to their use for modelling environmental systems
- ``Neural computation of decisions in optimization problems
- Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
- Chaos and asymptotical stability in discrete-time neural networks
- Computational abilities of a chaotic neural network
- Stochastic stability of uncertain Hopfield neural networks with discrete and distributed delays
- An improved particle swarm optimization algorithm combined with piecewise linear chaotic map
- Improved particle swarm optimization combined with chaos
- The role of depth and 1/f dynamics in perceiving reversible figures.
- OPTIMIZING COMPLEX FUNCTIONS BY CHAOS SEARCH
- Neurons with graded response have collective computational properties like those of two-state neurons.
This page was built for publication: Chaotic Hopfield neural network swarm optimization and its application