多层前馈神经网络（Multilayer Feedforward Neural Networks）由大量的单个过裰单元（也叫神缀元）组成，具有 高度造链接能力。
基于8个网页-相关网页
前馈神经网络 feedforward neural network ; FFNN ; feedforward network ; FNN
多层前馈神经网络 MLFNN ; multi-layer feedforward neural network ; MFNN
反馈神经网络 Feedback Neural Networks ; Recurrent Network
前馈和反馈神经网络 Feed-forward and Feed-back Neural Networks
输出反馈神经网络 Network with Output Feedback
三层前馈神经网络 three-layered feedforward neural networks
单隐层前馈神经网络 Single-hidden Layer Feedforward Neural Network
层前馈神经网络 Single-hidden Layer Feedforward Neural Network
前馈神经网络方法 Back-Propagation Network ; BPN
前馈神经网络在许多领域有着广泛的应用。
Feedforward neural networks have been widely used in many applications.
将这些壳系数输入前馈神经网络簇，以识别该手写体数字。
The shell coefficients are used as features to input into a feed-forward neural network to recognize the handwritten numerals.
多层前馈神经网络是在实践中应用最为广泛的一种神经网络。
Multilayer feedforward neural network is the most popular one in practice.
应用推荐