This initializing method can also be used as fast training algorithm for H-MLP network.
该初始化方法同时可作为H-MLP网络的一种快速训练算法。
A scale training algorithm of BP neural network is used, and sample reorganization method is proposed. Its advantage is the fast training speed and good feature extraction ability.
作者使用比例训练的BP算法，提出对训练模式进行样本重组的方法，其特点是训练速度快、特征抽取能力强。
This paper applies parallel tangents of nonlinear programming during the weights training of neural network and puts forward a neural network in view of fast learning algorithm.
因此，作者将非线性规划的平行切线算法用于神经网络的权值学习，提出了一种具有快速学习算法的神经网络。
The Research of fast Neural Network training algorithm is taken attention at all times.
神经网络快速训练算法的研究一直是人们所关注的问题之一。
Then propose two fast methods for training and execution, Selective Gain Computation algorithm and Sparse Feature Tree, accordingly.
然后分别从训练和执行两个方面提出快速方法：选择性增益计算方法和稀疏特征树方法。
Least mean squares (LMS) algorithm was used in the training procedures. The merit of the algorithm is the fast convergence and it can be used for data analysis in laboratories.
在模型的训练过程中运用了最小均方算法，其优点是收敛速度很快，可以用于实验室数据处理。
A fast stochastic global optimization algorithm, particle group optimization algorithm, was used for training the fuzzy neural network.
模糊神经网络的学习算法采用的是快速的粒子群优化算法。
The networks are trained by the fast BP algorithm via fuzzy variables decision, and training samples are provided by the dynamic inversion control results.
网络的训练利用改进的BP算法，将因子模糊化快速进行。样本点数据则由利用动态逆控制所得到的结果来提供。
To accelerate the training speed of BP network, a joint-optimized fast BP learning algorithm is proposed.
针对BP网络学习速度的缓慢性，本文提出了一种联合优化后的快速学习算法。
To accelerate the training speed of BP network, a joint-optimized fast BP learning algorithm is proposed.
针对BP网络学习速度的缓慢性，本文提出了一种联合优化后的快速学习算法。
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