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The shortest path problem is the classical combinatorial optimization problem arising in numerous planning and designing contexts. This paper presents a association of a modified Hopfield neural network, which is a computing model capable of solving a large class of optimization problems, with a genetic algorithm, that to make possible cover nonlinear and extensive search spaces, which guarantees...
By integrating the global searching advantage of Genetic Algorithm (GA) and the local searching ability of BP Artificial Neural Network (BP ANN), this paper proposes a new model of BP ANN based on GA (called GA-BP ANN). Firstly, it applies GA to optimize the initial interconnecting weights and thresholds of BP ANN. Then, it utilizes the BP algorithm to train the neural network more accurately. This...
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