| 1. | Back propagation algorithm
反传算法 |
| 2. | Design of on - line learning based error back propagation algorithm in simulation servo system
基于在线学习误差反传算法的仿真伺服系统设计 |
| 3. | The multilayer perception , trained by the back propagation algorithm , is currently the most widely used neural network
Bp神经网络是目前神经网络理论发展最完善、应用最为广泛的网络。 |
| 4. | Chapter four details the basis of the modeling of the thesis - - error back propagation algorithm , or bp , which is the stress of the thesis
2005年4月末,金融机构个人贷款余额达到27043亿元,比上年同期增长了57 % ,呈现了快速发展的态势。 |
| 5. | The algorithm give over vice of the simple back propagation algorithm ( sbp ) that plunge the part extremes in some intricate nonlinear problems
同时，针对sbp神经网络对于复杂的非线性问题容易陷入局部极值，提出了改进的bp算法( nfcs - caf ) 。 |
| 6. | Chapter 4 presents an error back propagation algorithm with quadratic momentum of the multilayer forward neural networks that will speed up the error convergence velocity
本文提出一种带二次动量项的多层前向网络误差反传算法，提高了神经网络的误差收敛速度。 |
| 7. | In this model , back propagation algorithm based on forward networks was conducted to learn information of historical data and to train the network weights
以人工神经网络的前馈型网络为基础结构，基于反向传播算法进行学习和训练来拟和证券价格指数的运动趋势。 |
| 8. | Feedforward networks use back propagation algorithm to train a multi - layer network . after training , the multi - layer network can fit the function in the data space very well
前向网络利用反向传播算法训练多层网络，使训练后的网络较好地拟合样本空间中各点的函数值。 |
| 9. | The artificial neural networks ( ann ) with back propagation algorithms coupled with the sequential pseudo - uniform design ( spud ) was applied and demonstrated successfully to the modeling of the pmr system using limited but adequate experimental data
我们采用接续式拟均匀设计来安排实验取得少量但充足的数据并以类神经网路来建构钯膜反应器之代表性模式。 |
| 10. | In the stage of training , nntcs applies labeled documents to ann for training , and the error back propagation algorithm ( bp ) is employed to adjust weights of the networks . after training , the final fixed weights are saved as knowledge of classification
在文本训练的时候，利用标记好的训练文档集进行网络训练，误差反馈算法对网络进行权值调整，得到固定的权值作为分类知识存储。 |
