论文提出了一种新的基于互补遗传算子的前馈神经网络三阶段学习方法。该方法把神经网络的学习过程分为三个阶段。
A new mutual genetic operator based three stages feedforward neural network training method is proposed in this paper, which divides neural networks training procedure into three stages.
采用平衡的倒摆小车所记录下来的数据，经处理后用有师学习方法来训练前馈神经网络。
Presents a method of training a feedforward neural network using supervised learning scheme to balance an inverted pendulum and cart system.
采用前馈型网络对动态系统辨识是神经网络应用到故障检测和诊断中的主要方法之一。
The one main way that NN is applied to FDD is dynamic system identification with feedforward networks.
总结了正交法的应用研究，提出用正交化方法来确定前馈神经网络的结构，包括隐层数、节点数以及网络训练步数。
Based on summarizing of the application of onhogonal method, an onhogonal method for deciding the number of hidden layers, neurons and the training step of neural networks is presented.
提出了径流长期分级预报的人工神经网络方法，给出了多层前馈网络的联合梯度算法。
An artificial neural network method is proposed for hydrological forecasting, the hybrid gradient method for multilayer feedforward neural network developed.
用前馈多层神经网络方法研究了高聚物的热力学性质。
The thermodynamical properties of polymers are studied using a BP artificial neural network model.
为了更好满足谐波测量的实时性和测量精度，我们进一步研究了基于多层前馈神经网络在谐波测量中的方法。
In order to improve the real-time and precision, the methods with multi-layer feed-forward neural networks are investigated more.
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。
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。
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.
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。
Based on weights analysis of feedforward neural networks, a hierarchic decomposition neural networks method for solving this problem is provided.
同时将所建立的模型与以往回归方法建模进行了比较，可以看出多层前馈神经网络要优于回归方法建立的模型。
At the same time, comparing the model with traditional model by regression method, we obtained that the former is better.
基于前馈神经网络的自适应回声消除方法。
A novel adaptive method based on feed-forward neural networks for echo cancellation is proposed in this paper.
基于前馈神经网络的自适应回声消除方法。
A novel adaptive method based on feed-forward neural networks for echo cancellation is proposed in this paper.
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