To simplify the calculation, a learning algorithm based on the expansion of the orthogonal basis functions is developed.

为简化模型的计算复杂度，开发了一种基于正交基函数展开的学习算法。

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In the process of application of Improved BP algorithm in PNN, the input functions and the network weight functions are represented as expansion of a same orthogonal function basis.

在改进BP算法与网络训练的结合过程中，权函数及输入函数皆被用同一正交基函数展开。

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In consideration of the complexity of the aggregation operation of time in process neural networks, a new learning algorithm based on function orthogonal basis expansion is proposed.

该文在考虑过程神经网络对时间聚合运算的复杂性的基础上，提出了一种基于函数正交基展开的学习算法。

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