A platform for research: civil engineering, architecture and urbanism
Efficiency of applying Hopfield neural networks with simulated annealing and genetic algorithms for solving m-partite graph problem
Efficiency of applying Hopfield neural networks with simulated annealing and genetic algorithms for solving m-partite graph problem
Efficiency of applying Hopfield neural networks with simulated annealing and genetic algorithms for solving m-partite graph problem
Ming, X. G. (author) / Mak, K. L. (author)
INTERNATIONAL JOURNAL OF MATERIALS AND PRODUCT TECHNOLOGY ; 13 ; 195-213
1998-01-01
19 pages
Article (Journal)
English
DDC:
620.11
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
British Library Online Contents | 1998
|Seismic reliability optimization of water distribution networks with simulated annealing algorithms
British Library Online Contents | 2009
|British Library Online Contents | 2005
|Global asymptotic stability of discrete hopfield neural networks
British Library Online Contents | 2001
|