Based on the immune algorithm, an optimizing method is presented which is used to search the weights of B-P network.

提出了一种基于免疫算法的B - P网络权值设计方法，用于实现B - P网络权值空间的搜索。

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Aiming the square sum of error (SSE), we construct the algorithm to iterate and select an optimal parameter for optimizing the new models, which ADAPTS the model to time series more.

又以预测误差平方和SSE最小为目标，构造了优选并自动生成最佳平滑参数使平滑模型得以优化的最速下降算法，增强了指数平滑模型对时间序列的适应能力。

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