神经网络二次学习影响系数加权法及算例

Second Learning Effect Coefficient Algorithm of ANN and Simulative Example

神经网络由于其本身具有的优越性 ,已广泛应用于各个领域中的分类、联想问题。为了提高诊断准确度 ,给出了一种新的神经网络学习算法———二次学习影响系数加权法。并通过算例和实例对上述模型和算法进行了验证。

Neural Network is applied to classification and auto memory in all fields,for the superiority of itself.In this paper for improving diagnosis accuracy,a new neural network learning algorithm-second learning effect coefficient algorithm is taken out.Finally the algorithm is tested through a simulative example.