A feed forward neural network (FFNN) for the corner classification 4 (CC4) can instantaneously classify text data.
角分类前向神经网络CC 4可以快速对文本数据进行分类处理。
The shell coefficients are used as features to input into a feed-forward neural network to recognize the handwritten numerals.
将这些壳系数输入前馈神经网络簇，以识别该手写体数字。
CMAC (Cerebellar Model Articulation Controller) is a kind of local learning feed - forward neural network with simple architecture, quick learning convergence and effective implementation.
小脑模型清晰度控制器(CMAC)是一种局部学习前馈网络，结构简单，收敛速度快，易于实现。
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