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In this paper, a novel approach for online motor fault diagnosis is proposed based on artificial neural network (ANN) trained by immune clustering and genetic algorithm (IGA). The IGA is employed to adaptively optimize the structure of the radial basis function neural network (RBFNN). The clonal selection principle is responsible for how the centres will represent the training data set. The immune...
The job shop scheduling problem (JSSP) is one of the most difficult problems, as it is classified as an NP-complete one. In this paper, by integrating chaos mechanism and niche technique, a novel artificial immune algorithm based on the clonal selection principle and idiotypic immune network theory exhibited in biological immune system is proposed to solve classical job shop scheduling problem. Taking...
Adaptive infinite-impulse-response (IIR) filter provides a powerful approach for solving a variety of practical problems. However, they might have a multi-modal error surface and their design is formulated as a highly nonlinear optimization problem. By integrating chaos mechanism and niche technique, a novel immune optimization algorithm based on the clonal selection principle and idiotypic immune...
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