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- The obvious superiority of the artificial neural network BP algorithm is shown through the determination of the fluidity of lubricating-oil and the recovery and RSD of benzene and methylbenzene. 通过测定润滑油的流动性、苯和甲苯的回收率及相对标准偏差的两个实例,分析了人工神经网络BP算法的明显优势。
- Quasi neural network BP algorithm for simultaneous inversion of two 3-D density interfaces 同时反演两个三维密度界面的拟神经网络BP算法
- Keywords Learning control Neural networks BP algorithm CSTR; 学习控制;神经网络;BP算法;连续搅拌反应釜(CSTR);
- neural network BP algorithm 神经网络BP算法
- Application of Artificial Neural Networks BP Algorithm in Prediction for a Kind of Medium Diffusion 神经网络BP模型在一类介质扩散预测中的应用
- In this paper,the back propagation algorithm of a multilayer feedforw ard neural network was defined as BP algorithm? 利用前向多层神经网络的反向传播算法,即BP算法。
- Keywords Neural networks BP algorithm High frequency ECG(HFECG) Three dimension spectrum for high frequency QRS waves; 神经网络;BP算法;高频心电图;QRS波群的高频三维频谱;
- A groundwater depth predication model of artificial neural network(ANN) for West Jilin was established based on a self-adapted BP algorithm. 运用学习率自适应动量BP算法建立了吉林西部地下水埋深人工神经网络模拟预测模型。
- Using BP algorithm of feed-forward neural network in fuzzy neural network, the small disjunction samples are further processed. 采用模糊神经网络中的前向神经网络BP算法对小分裂样本进行进一步处理。
- GNN (Genetic Neural Network,GNN) is obtained by using genetic algorithm to optimize neural network which is trained by BP algorithm. GNN (Genetic Neural Network, GNN) 是通过将遗传算法与BP网络耦合获得。
- Forward feedback neural network (FNN) using a variable step size BP algorithm is used to implement underwater acoustic channel equalization. 文中对变步长BP算法的前馈神经网络进行了理论和算法分析,并通过计算机对其实现水声信道盲均衡进行了仿真。
- Back Propagation(BP) neural network can be used to forecast Gyroscopic drift.But BP algorithm inclines to fall into local extremum and its training speed is very slow. 作为导航系统核心的惯性器件,陀螺仪在整个导航系统中起着十分重要的作用。
- Through learning the part of experimental data by BP algorithm, a multi-layer artificial neural network was established and integrated with the counterflow condenser model. 通过对部分实验数据的学习,进一步建立了与基本模型相结合的人工神经网络。
- One neural network (NNI) is used in nonlinear system discriminate to know, another neural network (NNC) is controller, The controller adopt a kind of new BP algorithm to improve the speed of learning, have realized the fastener of controlling algorithm. 一个神经网络(NNI)用于非线性系统的辨识,另一个神经网络(NNC)作为控制器,控制器采用一种新型的BP算法改进学习算法中收敛速度慢等不足之处,实现了控制算法的快速性。
- Experimental result indicates, the optimized BP neural network's constringency speed is faster, and the problem that BP algorithm is easy to be trapped into local optimization has been solved. 试验结果表明,用遗传算法优化BP神经网络的连接权值后收敛速度快,并有效的解决了BP算法容易陷入局部最优的问题。
- By a n engineering example,the principle of the neural network BP algorit hm and the establishment and solut ion of a network model for optimiz ation of blasting parameters are briefly introduced. 通过一个工程实例,简介了人工神经网络BP算法的基本原理、爆破参数优化网络模型的建立和求解。
- Third, based on the research of neural network theory and problem of the BP algorithm, a new method of the accelerating convergence rate and resolving part minima dot has been proposed. 第三,深入研究了神经网络系统理论,并针对目前常用的BP算法所存在的问题,提出了一种加快收敛速度和解决局部极小点的新的方法。
- The neural networks NNM and NNC used for identifier and controller is trained off line using Genetic Algorithm, and on line using BP Algorithm, respectively. 用GA离线辨识网络NNM ;在此基础上用BP算法在线训练控制器网络NNC .
- Neural networks have been widely used in kinds of research fields. In this paper, faults of CSTR will be detected and diagnosed using an improved BP algorithm. 将BP算法和使用复合法修正初始权值的BP算法运用到CSTR模型中进行故障诊断。
- A dividing structure of multi-BP neural networks was presented,which could decrease the learning time of BP algorithm and promote the recognizing rate of fauIt mod-els. 提出了多重BP(BackPropagation)神经网络分流结构,以减少BP算法的学习时间,提高故障模式识别率。