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- The experiment is efficient to master feedforward neural network's nature. 实验结果有利于对前馈型人工神经网络的本质认识。
- Gradient algorithm has been widely used for training the weights of feedforward neural networks. 梯度算法广泛应用于训练前馈神经网络.
- A fast learning hybrid algorithm of feedforward neural networks based on the regularized least squares is presented. 提出一种基于正则化最小二乘的前向神经网络快速学习的混合算法。
- The structure of PMN is a four layer feedforward neural networks(FNN), where the Gaussian probability density function is realized as an internal node. PMN网为一个四层前馈网，它构成一个贝叶斯分类器，实现多类分类的贝叶斯判别，把输入的说话人语音数据模型参数通过网络变换为输出的说话人判定。
- Based on weights analysis of feedforward neural networks, A hierarchic decomposition neural networks method for solving this problem is provided. 基于前馈神经网络的权重分析，提出一种基于神经网络的结构优化层次分解方法，较好地解决了这一问题。
- In this pape r, we discuss some problems of feedforward neural networks (FNN).A mathematical theory is introduced for the feedforward neural networks. 讨论了目前前馈神经网络研究中存在的一些问题，给出了前馈神经网络的一种数学框架。
- A fuzzy evolutionary programming method to design the feedforward neural network is proposed. 摘要本文提出一种模糊进化规划，用于前向神经网络的设计。
- Automated identification of tomato maturation using multilayer feedforward neural network with GA can be realized. 采用遗传算法训练的多层前馈神经网络实现番茄成熟度的自动判别。
- In the second control schedule , NNC is a three-layered feedforward neural network . 2、第二种控制方案中，NNC是一个三层前馈神经网络。
- In this paper,a new complex-valued blind equalization algorithm based on the feedforward neural network(N-FNN) is proposed. 提出了一种新的前馈神经网络(N-FNN)复值盲均衡算法。
- In this paper, the principle and application of semilinear feedforward neural network are described, some experimental results are also presented. 本文结合岩体质量的模式识别，阐述了半线性前馈神经网络的基本原理和应用，并给出了其部分试验结果。
- When there are scanty core data and more log data,feedforward neural network is a very effective method to recognize the logging lithology. 岩芯资料少，测井资料较多及测井参数分布的模糊性，是岩性识别中的困难所在。
- In this paper we prove a finite convergence of online BP algorithms for nonlinear feedforward neural networks when the training patterns are linearly separable. 当训练样本线性可分时;本文证明前馈神经网络的在线BP算法是有限次收敛的.
- A feedforward neural network's experiment plan based on linear single inverted-pendulum and MATLAB/SIMULINK was proposed. 摘要介绍一个基于MATLAB/SIMULINK和直线一级倒立摆系统的前馈型人工神经网络的实验方案。
- Multilayer feedforward neural network is the most popular network model ,and the approach ability and training algorithm are the key of its application. 多层前向神经网络是最常用、最流行的神经网络模型,其逼近能力和训练算法是其应用的关键。
- After discussing the connection between digital logic and a neuron,a strategy of implementing arbitrary Boolean logic using three layers feedforward neural network is presented. 在讨论数字逻辑与神经元的关系后，提出一种利用前向三层神经网络实现任意布尔逻辑的设计方案。
- The structure of the system and the design of the multiple feedforward neural network used for identification of spectrogram of wastewater are discussed. 介绍了系统构成原理和用于废水紫外光谱图识别的多层前向神经网络的设计，分析了含有不同隐节点数的前馈网络的精度；该系统可对远程水质进行监测；
- To make neural network more robust, a novel robust estimation function is proposed to improve the feedforward neural network according to the theorem of statistics. 为使神经网络更加稳健，本文根据统计学原理，在前馈神经网络基础上，采取稳健估计方法改进神经网络。
- It is always difficult to train a two-layer Feedforward Neural Networks (FNN) based on the cumulant match criterion because cumulants are nonlinear implicit functions of the FNN parameters. 由于非线性系统输出是其参数的非线性函数,直接利用高阶累积量辨识两层前馈神经网络(FNN)通常是十分困难的。
- At first, with the simulink of MATLAB, the feedforward neural networks went through training based on PSO in the closed-loop control system, and the optimized parameters of NN-PID are obtained. 首先借助MATLAB系统仿真工具，在闭环控制系统中通过PSO优化算法训练前馈网络，得到优化的NN-PID控制器参数；
