填充函数法是一种解无约束全局极小化问题的方法。
The filled function method is an approach for solving unconstrained global minimization problem.
把填充函数法与BP算法相结合，提出一种训练前向神经网络的混合型全局优化新算法。
This paper proposes a new global optimization technique in which combines the filled function method and BP algorithm for Training feedforward neural networks.
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