back propagation algorithm造句
例句与造句
- Back propagation algorithm
反传算法 - 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 - 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。 - 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。 - 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 ) 。 - It's difficult to find back propagation algorithm in a sentence. 用back propagation algorithm造句挺难的
- 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。 - 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。 - 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。 - 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。 - 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。 - In this paper , we improve the objective function of back propagation algorithm based on different financial actual situation . change the objective function into the expectation and the variance of error function to make its application more wide
本文首先基于bp算法应用于金融实务领域的不同，对原bp算法的单一目标函数进行了改进，分别取其期望目标和方差目标，进行了bp算法的推广，使其应用范围更广。 - In order to override the well - known limitation of back propagation algorithm , such as local grade problem , we suggest genetic algorithm , a global optimization algorithm , to optimize the weights set . the different parts of this model were modularized and combined as a prediction system
通过对固定网络结构的权系值进行遗传操作，优化网络的权系值组合，快速收敛到最优权系值组合，进而提高网络的分析预测效率和能力。 - The multiplayer forward neural network and its training algorithm are thorough analyzed , error back propagation algorithm is derived from the mathematic , the problem of bp algorithm is indicated . the improved bp algorithm with many target recognition is constructed
详细分析了多层前馈型神经网络描述及训练算法机理，从数学的角度推导了误差逆传播算法( bp算法) ，同时指出了bp算法存在的问题。构建了一种用于多目标识别的改进的bp算法。 - On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system , this paper sets up an adaptive noise cancellation controller based on artificial neural network , which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end , this paper proposes some advices of model and algorithms
在对基于误差反向传播学习算法的多层前向人工神经网络进行分析基础上，结合传统自适应噪声抵消系统基本原理，建立了基于人工神经网络的自适应噪声抵消器，经基于matlab的simulink仿真实例证明，具有很强的噪声滤除能力和鲁棒性。最后并提出了网络及算法进一步改进的方法。 - Based upon the deficiencies of the back propagation algorithm in the practical application , after some mechanisms effecting the network training and the other performances are analyzed when training samples with disturbance are employed in training , in this paper , through combining the chief thoughts of the classical bp algorithm and the robust statistic technique , improving the optimal algorithm of the bp algorithm , a new algorithm with high robustness - robust adaptive bp algorithm is proposed , and also make a good effect when integrated this new algorithm with the dynamical bp network to predict the stock price
本文从基本bp算法在应用中存在的不足出发，着重分析了训练样本中所含噪声对基本bp算法在网络训练过程中产生的不良影响，并以此为依据，采用鲁棒统计技术，同时在优化算法上做了一些有益的改进，提出一种新的具有较强抗干扰能力的bp算法? ?鲁棒自适应bp算法，并将其应用于动态bp网络，进行股票价格的预测，取得了较好的预测效果。
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