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- nonlinear BP algorithm 非线性BP算法
- 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。
- Last the article make the network with BP Algorithm to recognize the character, the strongpoint is great self-studying ability and fast speed. 最后,本文采用了基于反向传播算法(BP算法)的神经网络系统来识别字符,其优点是结构设计简单,自学习能力较强,识别速度快。
- In this paper we prove a finite convergence of online BP algorithms for nonlinear feedforward neural networks when the training patterns are linearly separable. 当训练样本线性可分时;本文证明前馈神经网络的在线BP算法是有限次收敛的.
- The typical BP algorithm and improved BP algorithm are applied to the fault diagnosis of Tennessee Eastman(TE) model. 并分别将典型的BP算法和改进后的BP算法用于TE(Tennessee Eastman)模型的故障诊断中。
- An improvement BP algorithm was designed to adjust the parameters of FNNC on line. 设计了一种改进的BP算法对模糊神经网络的参数实现在线调节;
- Moreover, the training time of HBP is 54.2% of the cost obtained with BP algorithm. 且训练时间仅为BP算法的54.;2%25。
- NNM can use many learning algorithm .In this paper , it use the modified BP algorithm which proposed by the author . NNM可以采用许多学习算法,前已提及本文中采用作者提出的改进BP算法。
- Thus,it indicates that BP algorithm is applicable to decoding for coded image in ICF experiments. 模拟结果表明该算法的图像解码复原精度高，效果好。
- The simulation results show that cross-validation BP algorithm improved the efficiency of learnin... 仿真结果表明,交叉验证BP算法提高了网络学习的效率。
- And the paper gives a detailed describing to the deducing of BP algorithm and its betterment arithmetic. 并对神经网络理论中的BP算法及其改进算法的推演和相关知识进行了描述。
- It is shown, by derivations and calculations, that the improved BP algorithm can obviously reduce the learning time. 最后，利用实测数据进行验证。结果表明，改进的神经网络算法明显提高网络收敛速度；
- 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。
- Objective To improve traditional BP algorithm,to build effective the pattern recognition of the activity of medicament. 目的改进传统的BP算法,建立有效的药物活性识别模式。
- It states that the improved BP algorithm and the hybrid BP algorithm are adapted well to treating the prototype observation data of a dam. 由此表明,采用改进的BP算法和混合BP算法来处理大坝观测数据是行之有效的。
- 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。
- A BP network model based on the dam pr ototype observation data has been established. A BP algorithm is presented to forecast the dam disp lacement. 根据大坝的原型观测资料建立了BP网络模型;并采用BP算法对大坝位移进行了分析.
- 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。
- The BP network model is established for parameters design of bolt-shotcrete support in tunnels, and the shortcomings of the BP algorithm are improved. 建立了隧道锚喷支护设计参数选择的BP网络模型,并对BP算法中的不足之处加以改进。
- As for the slow convergence rate of BP algorithm, a momentum item was introduced into BP algorithm so that the convergence rate was increased. 针对BP神经网络收敛慢的特点,在实际算法中引入了动量项,从而提高了网络收敛速度。
