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。
The PNN structure was optimized based on statistical results from the PCA for the training samples. A learning algorithm was introduced into the PNN to reduce uncertainties parameter.
以 概率乘法公式为理论依据，根据训练样本的PCA结果对PNN进行 结构 优化，并引入学习算法减小PNN的参数不确定性。
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