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An intelligent model for the ship's nonlinear parameters was established based on fuzzy cerebellar model arithmetic computer (FCMAC) neural network. Firstly, the system design comprises the structure determination, and then applies the least square estimation with adaptive learning rate to train the mean and variance of the membership functions and the weights of FCMAC. With the learning algorithm,...
In this paper the Product Mix optimization is considered using the Takagi-Sugeno Method. The fuzzy inference system, implemented in the frame work of adaptive networks, is through soft computing. The system uses an architecture called Adaptive-Network-based Fuzzy Inference System (ANFIS), which generates a set of fuzzy if-then rules (human knowledge or natural language) with an appropriate membership...
In this paper, we extend the definition of the common TSP and propose the online TSP, whose purpose is to find the shortest time of visiting all cities while considering the traffic conditions. We also propose a fuzzy based compact genetic algorithm (FCGA) for online TSPs. The basic idea of FCGA is to adapt the size of population simulated of CGA with a fuzzy neural network (FNN) based knowledge machine,...
Type 2 fuzzy systems have been under investigation for a while and the projection of type 2 understanding for uncertainty management onto the connectionist models -i.e. neural networks- seems an interesting field of research. This paper considers neurons having multiple bias values defining a new structure that resembles the uncertainty handling capability of type 2 fuzzy models. Such a neuron provides...
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