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Time series forecasting is the main method in network flow prediction. RBF neural network is capable of universal approximation, which not only has fast training velocity, but also can solve the local minima problem. Thus, network flow prediction technology based on genetic algorithm and RBF neural network is presented in the paper. And the training parameters are adjusted by genetic algorithm. Network...
Reduction of knowledge is an important topic on studies of rough set. In this paper, we present a heuristic reduction algorithm based on the dependency of a knowledge decision system for power transformer fault diagnosis. A group of minimal decision rules are produced from the consistency of the system attributes. A lot of real fault samples were analyzed by this algorithm. The experimental results...
This paper proposes a knowledge based genetic algorithm (GA) for path planning of a mobile robot in unstructured environments. The algorithm uses a unique problem representation method to represent 2-dimensional robot environments with complex obstacle layouts of arbitrary obstacle shapes. An effective evaluation method is specially developed for the proposed genetic algorithm. The evaluation method...
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