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Although simple genetic algorithm (SGA) can, to some extent, improve the back propagation neural network (BP), it is prone to prematurity and losing the optimal solutions. Niche technology and fuzzy control theory are introduced to improve SGA and the improved one is used to optimize BP. The improved genetic algorithm is used to optimize BP neural network. In addition, due to the increasingly voltage...
As genetic algorithm can't maintain the diversity of groups and is prone to prematurity, in this paper one introduce niche technology and fuzzy control theory to improve the simple genetic algorithm. The niche technology preserve the variety of the population and fuzzy control can make sure GA gets the optimal solutions in the global search by controlling the crossover- probability and mutation-probability...
Genetic neural network can improve optimization ability of the neural network model and effectively overcome the slow learning speed of BP neural network, there are the inherent local minimum point defects, and previous studies show that the method can effectively improve the prediction accuracy and speed. In this paper, using better representation at home and abroad and more comprehensive information...
The increasing electrical load penetration on power systems requires the development of researching on short-circuit current level for large scale power grid, and the problem of short circuit currents has become significant for the planning and operation of the power system.This paper analyses short-circuit current situation as well as the development tendency in China in detail, and proposes a new...
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