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To improve the accuracy of clustering classification the Adaptive Genetic Algorithm was proposed. The code is float, the selection operator is rank-based fitness assignment and elitist model, the crossover operator is real valued recombination, the mutation operator is real mutation. The adaptive crossover probability and adaptive mutation probability are proposed, which consider the influence of...
The adaptive genetic reduction algorithm based on knowledge dependability designed as a general optimization method was applied to the ambiguity resolution of pulse Doppler (PD) radar. The fitness, based on squared error for multi-PRF (pulse repeat frequency) consecutive ordered ranges, was designed. The crossover operator and the conditions of ending in GA were discussed. The relations among the...
Trace chemical contaminants generated by human metabolism is a major source of contamination in spacecraft crew module. In this research, types and generation rates of pollutants from human metabolism were determined in the Chinese diets. Expired air, skin gas, and sweat of 20 subjects were analyzed at different exercise states in a simulated module. The exercise states were designed according to...
This paper mainly presents an analog circuit fault diagnosis by adaptive fuzzy neural network. Combines fuzzy theory with BPNN(back propagation neural network), an integrated self-adaptive NN is developed based on the Takagi-Sugeno fuzzy system. The training of network weights and optimization of membership functions are conducted employing hybrid algorithms. Finally, single electrical source complementary...
Traditional production cost simulation has not taken consideration of the influences of electricity market and the bidding strategies of generation companies. Thus, if it is used in a deregulated environment, the result would be far away from what it should be. Furthermore, it would probably cause risks to system operation in the future deregulated environment. Based on this analysis, we can come...
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