A Research and Application of Chaotic Neural Network for Marine Generator Modeling

Abstract

For enhancing approximation ability of chaotic neural network to nonlinear system, some characteristics are researched about neuron algorithm, architecture of network and learning rule of neural network. A local recurrent chaotic neural network is constructed based on Aihara chaotic neuron. A heuristic modified improved BP algorithm is applied in the chaotic neural network training with well ability of convergence and stability. The chaotic neural network is applied in marine generator modeling for a real time simulator. The application indicates that the chaotic neural network can be applied to build marine generator with ideal ergodicity and few number of neuron. There are relationships between value of mean square error and chaotic characteristic of neuron in marine generator modeling. When the neuron is in chaotic state, the minimum value of mean square error will be acquired.