不同于传统的学习方法，Huang为单隐层前馈神经网络（Single-hidden Layer Feedforward Neural Network, SLFN）提出了一种称为极速学习机(Extreme Learning Machine, ELM)的学习方法,该...
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多层前馈神经网络 MLFNN ; multi-layer feedforward neural network ; MFNN
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
单层前馈神经网络 Single-hidden Layer Feedforward Neural Networks
单隐含层前馈神经网络 SLFN ; Single-hidden Layer Feedforward Neural Network
单隐藏层前馈神经网络 Single-hidden Layer Feedforward Neural Network
为单隐层前馈神经网络 Single-hidden Layer Feedforward Neural Network
多层前馈人工神经网络 MLFFANN
多层前馈bp神经网络 multi-layered feedforward neural networks
基于输出层函数为线性函数的三层前馈神经网络，结合自适应步长和动量解耦的伪牛顿算法及迭代最小二乘法导出了一种混合算法。
On the basis of both adaptive BP algorithm and Newtons method, Quasi Newton algorithm with adaptive decoupled step and momentum (QNADSM) for feed-forward neural networks is derived.
针对直接矢量控制感应电机感应电机调速系统 ，设计和训练一个三层前馈神经网络以估计系统的实际转子磁链和单位矢量 ，并由此构成系统的闭环控制。
This paper designed and trained a three-layer fee dforward neural network to estimate the actual rotor flux and unit vector ford irect vector controlled induction motor speed drive.
讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.
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