- 倒传递演
- 反传算法
- 反向传播算法
- 回传式学习算法
下载手机词典可随时随地查词查翻译
back propagation algorithm中文什么意思
例句与用法
- 更多例句： 上一页 下一页
- Based on the integration of fuzzy logic system and neural networks the thesis constructs a fuzzy neural network controller , which is used in ship course self - studying adaptive control system . because the fuzzy logic system is realized in neural network , the fuzzy neural network controller " s self - studying ability is raised greatly . substituting improved genetic algorithm for back propagation algorithm in fuzzy neural network controller ship course fuzzy neural network control system " s real - time ability is raised
针对模糊逻辑系统有很强的知识表达能力和逻辑推理能力，但自学习能力比较差，而人工神经网络在自学习和函数逼近方面又具有独特的优越性，将两者结合，用神经网络来实现模糊逻辑系统，构造了一个基于模糊神经网络控制武汉理工大学博士学位论文器的船舶航向自学习型自适应控制系统，提出用改进的遗传算法代替神经网络中经典的bp算法实现模糊神经网络的学习，综合船舶航向控制性能和节能要求，建立了系统的适应度函数。 - For the planar gap and the tridimensional vertical bend of shielded cpw , fdtd simulations are carried out to produce training and testing samples and error - back propagation algorithm is used to train the multilayer perceptron neural networks ( mlpnns ) . rapid and accuracy cad models of these structures are successfully obtained for the first time
对于屏蔽cpw的间隙不连续性和垂直互连不连续性结构，采用fdtd方法获取训练和检测样本数据，用回传算法训练多层感知器，首次成功地获得了这些结构快速、准确的cad模型。 - Based on the historical space forecast data and corresponding actual data provided by a global semiconductor assembly and test company , the uncertainty of space planning was defined . during this analysis process , linear regression , grey prediction , neural network back propagation algorithm and confidence interval were applied , respectively , to define the uncertainty . compared with those methods , the confidence interval of historical space forecast error , calculated by mathematical statistics , was the reasonable method to define the space forecasting uncertainty
本文从半导体工厂长期生产能力计划的顶层即厂房生产面积的计划展开,对一跨国半导体封装测试公司提供的厂房生产面积的长期历史预测数据以及对应的真实数据进行分析,采用线性回归,灰预测,神经网络bp算法,基于数理统计的置信区间的求解等方法分别定义厂房生产面积预测的不确定度,经多种方法的比较得出,基于数理统计方法求解出的生产面积历史预测误差置信区间能直观清楚地标定不确定度。 - The simulation results indicate the capability of genetic algorithm in fast and steady learning of neural networks , guaranteeing a global convergence and overcoming some shortcomings of traditional error back propagation algorithms , meanwhile prove that this neural networks adaptive control structure is effective to many control problems and it is easy for us to programme and employ the method in the practical system
仿真结果表明遗传算法能够快速稳定地学习神经网络，保证全局收敛西安理工大学硕士学位论文并且能够克服传统误差反传算法的一些缺点，也证明了这种神经网络自适应控制结构可以有效解决系统中存在的控制难题，同时编程容易，便于在实际系统中应用。 - Neural network control is an important mode of intelligent control , and it is widely used in branches of control science , , first , the architecture and the learning rule ( error back propagation algorithm ) of multiplayered neural network which is widely used in control system are presentedo especially , the paper refers to the architecture of diagonal recurrent neural network and its learning algorithm - - - - - recurrent prediction error algorithm because of its faster convergence with low computing costo next , before introducing the neural network control to the double close loop dc driver system , the controllers of current and velocity loop are designed using engineering design approach after analysis of the system , , simulation models of the system are created
神经网络控制是智能控制的重要方式之一，它广泛应用于自动控制学科各个领域。本文首先叙述了控制系统中常用的多层前馈网络结构及算法( bp算法) ，特别提及了能够较好描述系统动态性能的对角递归神经网络和在用递推预报误差算法训练drnn时取得了较快的收敛速度。其次，应用工程方法分析设计了tf - 1350糖分离机的电流、转速双闭环直流调速系统的控制器，作为引入神经网络控制的设计基础，并建立了系统的仿真模型。