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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...
Danger Model Immune Algorithm(DMIA) is an algorithm based on the danger theory of biological immune system. In the basic algorithm, the danger area is fixed through the initial setting. It is an important parameter which will affect the capability of algorithm. In this paper, propose an adaptive danger area DMIA. The radius of danger area is decrease gradually according to the iteration steps. The...
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