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Danger Model Immune Algorithm (DMIA) is an algorithm based on the danger theory of biological immune system, and it has a good performance in optimization. DMIA is proposed to initialize the weights and biases of wavelet neural network (WNN), the ergodic weights and biases are used for further net-training. The fault diagnosis for marine diesel engine is conducted by using the well-trained wavelet...
This paper proposes the wavelet neural network (WNN) based on clonal selection algorithm (CLONALG) for using in fault diagnosis of marine diesel engine. CLONALG initializes the WNN's weights and biases, the ergodic weights and biases are used for further net-training. The fault diagnosis for marine diesel engine is conducted by using the well-trained wavelet network, in order to illustrate the performance...
In recent 20 years, artificial neural network has attained amazing achievement in very wide fields, and artificial neuron models are the bases of the success. This article classifies presented researches on artificial neuron models in China to 7 types and reviews them. Furthermore, the future research directs were prospected.
This paper proposes the Kalman particle swarm optimization algorithm (KPSO), which combines the Kalman filter and PSO. KPSO assumes that particle moves according to the Kalman filter. The comparison of optimization performance between KPSO and PSO to three widely used test functions shows that the optimization performance of KPSO is much better than that of PSO. The combination of KPSO and ANN is...
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