In this paper, the optimization design for feed-forward neural network is proposed based on chaos optimization.
采用混沌优化策略，提出一种前馈神经网络权参数的最优学习方案。
This paper put forward and carried out a text classification method using feed-forward neural network and K-nearest neighbor.
提出并实现了一种结合前馈型神经网络和K最近邻的文本分类算法。
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。
The optimization design method is proposed for feed-forward neural network structure by means of chaos ergodicity and randomicity.
提出一种关于多层前向神经网络结构的混沌优化设计方法。
In this paper, the optimization design for self-adaptive control system of feed-forward neural network is proposed based on chaotic variable.
基于混沌变量，提出一种神经网络自适应控制系统的优化设计方案。
The application of multi-layer feed-forward artificial neural network in fault equipment diagnosis includes feature value setting of equipment operation condition and fault judgment.
多层前馈人工神经网络在装备故障诊断中的应用含设备运行状态特征值设定和故障判定。
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。
BP algorithm is the most popular training algorithm for feed forward neural network learning. But falling into local minimum and slow convergence are its drawbacks.
BP算法是前馈神经网络训练中应用最多的算法，但其具有收敛慢和陷入局部极值的严重缺点。
To improve the prediction results of protein secondary structure, we developed a neural network ensemble model based on dual-layer feed forward BP network.
为了提高蛋白质二级结构预测精度，本文尝试采用一种基于串联BP网络集成的二级结构预测模型。
This paper presents a kind of software faults prediction model based on artificial neural network and the structure of the feed-forward multi-layer network with backpropagation learning algorithm.
该文介绍了一种基于人工神经网络的软件失效预测模型，给出了基于反向传播算法的多层前向网络的网络结构。
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CC4可以快速对文本数据进行分类处理。
The I/O relationship of back propagation algorithm (BP algorithm) for Feed-Forward Multi-layered Neural Network is a mapping relationship, which can resolve the above nonlinear problem.
多层前向神经网络的误差逆传播算法（简称BP算法）的输入输出关系实际上是一种映射关系，适于解决上述非线性映射问题。
The structure of a partially connected feed forward neural network and the training algorithm based on the recursive prediction error are constructed.
构造了局部连接的前馈神经网络的结构和基于递推预报误差的网络训练算法；
A novel approach to the real-time speech quality evaluation in a packet network using feed-forward multiple class random neural network (FFMCRNN) was presented.
提出了一种利用前馈随机神经网络在分组网络中进行实时语音质量评价的新方法。
Neural network is applied to layout problem, and a feed-forward network of layout problem is proposed.
将神经网络应用到布局问题中，给出了布局问题的前向网络。
By adopting the method of soft measurement with Feed forward neural network modeling, the black liquid Baume scale of pulping section in papermaking process has been measured.
采用前向神经网络建模的软测量方法，对造纸过程制浆工段的黑液波美度进行测量。
In this paper, a new method to generate the texture image by use of Multi layer feed forward neural network is presented.
提出了一种利用多层前馈神经网络生成纹理图象的新方法。
The potential utility of feed forward artificial neural network using the back propagation algorithm (BP-ANN), in interpreting pyrogram data from traditional Chinese medicine was discussed.
将以误差反向传播为训练算法的前馈式人工神经网络（BP- ANN）首次用于中草药的裂解气相色谱谱图解析。
The potential utility of feed forward artificial neural network using the back propagation algorithm (BP-ANN), in interpreting pyrogram data from traditional Chinese medicine was discussed.
将以误差反向传播为训练算法的前馈式人工神经网络（BP- ANN）首次用于中草药的裂解气相色谱谱图解析。
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