A learning algorithm of fuzzy neural networks with triangular fuzzy weights
Fuzzy Sets and Systems - Special issue on fuzzy neural control
Computers in Industry - special issue ASI'94 selection of papers presented at the advanced summer institute “computer integrated manufacturing and industrial automation” Patras, Greece, 26 June—1 July 1994
Hierarchical timed colored petri nets based product development process modeling
CSCWD'04 Proceedings of the 8th international conference on Computer Supported Cooperative Work in Design I
Neural-Network-Driven Fuzzy Optimum Selection for Mechanism Schemes
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
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This paper presents a new Fuzzy Neural Network (FNN) model to evaluate design alternatives in conceptual design. In the proposed method, a fuzzy reasoning based on feedforward neural network is used to evaluate concepts, and a learning algorithm based on ranking-based adaptive evolutionary operator genetic algorithm (RAOGA) is utilized to adjust fuzzy weights and thresholds with fuzzy inputs and outputs in FNN.