Development of neurofuzzy architecture for solving theN-Queens problem

DOI10.1080/03081070500422695zbMath1092.68085OpenAlexW1999142007MaRDI QIDQ5475275

Andre Nunes de Souza, Jose Alfredo Covolan Ulson, Ivan Nunes da Silva

Publication date: 16 June 2006

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081070500422695

zbMATH Keywords

recurrent neural networkcombinatorial optimizationHopfield networkneural network architecturefuzzy inference systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Combinatorial optimization (90C27)

Related Items (1)

Evaluation and comparison of brute-force search and constrained optimization algorithms to solve the N-Queens problem

Cites Work

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• Neurons with graded response have collective computational properties like those of two-state neurons.
• A Lagrangian augmented Hopfield network for mixed integer non-linear programming problems

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