neural network model

Experimental results show that the mean predicting accuracy of the LS-SVM model is higher than BP neural network model. At the same time, the LS-SVM model is especially suitable for limited number of samples. ( 4) Development of intelligent fertilization recommendation platform for tobacco.

实验结果表明，基于最小二乘支持向量机的施肥推荐模型对产量的预测准确率高于BP网络模型，且特别适用于样本数量有限的情况。（4）基于GIS的烤烟智能施肥推荐平台的开发。

Neural network model of college-student complex evaluation

大学生综合素质评价的神经网络模型

In this paper, one Radial Basis Function ( RBF) neural network model is developed based on the experimental data of a CFB sludge incinerator.

文中在循环流化床污泥焚烧试验研究的基础上，建立了基于径向基网络的NOx排放特性预测神经网络模型，并对此模型进行校验。

A radial basis function neural network model to data processing technique of dam safety monitoring is established. The prediction model based on radial basis function network is studied through experimental data and verified by additional data successfully.

建立了大坝安全监测数据处理坝段挠度预测的径向基神经网络模型，与通常的BP神经网络模型进行对比，并与实测结果进行校核。

After that, the writer use index data of machinery listed companies as the samples choose modified BP neural network model to build up client credit risk assessment model.

再次，作者以机械设备类上市企业的指标数据作为研究样本，采用改进的BP神经网络构建了客户信用风险评估模型。

Extended optimizing adaptive predictive control based on neural network model

基于神经网络模型的扩展优化自校正预测控制

An Artificial Neural Network Model for Controlling of Cupola Melting

冲天炉熔炼控制的人工神经网络模型

Assessment of traffic atmospheric environmental quality with LVQ neural network model

基于LVQ神经网络模型的道路交通大气环境质量评价

After propose the improved BP neural network model, we then use the improved BP neural network and support vector machine to predict the SZZS and make a compare the results of two methods.

在提出改进的BP神经网络模型之后，本文分别使用改进的BP神经网络和支持向量机方法对上证指数做出预测，并对两种方法的预测结果做出比较。

This paper discusses the application of neural network model in prediction of stock index and predicts the Shanghai exchange index by establishing BP network model.

本文探讨了神经网络模型在股票预测上的应用，通过建立BP网络模型对上证指数进行了预测分析。

LVQ neural network model assessing road atmospheric environmental quality was designed with MATLAB language.

结果表明,设计的LVQ网络模型具有良好的非线性映射功能和泛化功能.

Study on Fuzzy Neural Network Model of the Vehicle-bicycle Conflicts at Grade Intersection Based on Failure FTA Theory

基于事故树的平面交叉口机非冲突模糊神经网络预测模型的研究

The BP neural network model fitted very well in the study of aspiratory infectious diseases.

BP神经网络模型对干旱地区呼吸道传染病具有较高的拟合和预测能力，预测效果较好。

8D were approached with experimental data of different opening angles of guider. The results show that the hybrid neural network model has better generalization ability and higher precision, and it is superior to normal RBF neural network model.

8D离心风机为研究对象，用不同导流器开度下的实验数据进行拟合，研究结果表明，混合神经网络模型的泛化能力强，精度高，各项模型评价参数均优于传统的RBF神经网络模型。

The Neural Network Model of Rock Blasting Parameters Design

岩体爆破参数设计的神经网络模型

It indicated that BP neural network method performed better than multivariate stepwise regression models, as the sum of quadratic error of prediction by BP neural network model was less than by the regression method.

以误差平方和为标准的比较结果表明，BP神经网络模型的预测效果总的来看要优于多元线性回归法。

In this paper, on-line dynamic parameter identification based on 6-dimensional wrist force sensor is studied and investigated, and a neural network model of the identification is established, the net's power after learning is the inertial parameters.

本文基于腕力传感器的输出信号，对在线识别机器人操作臂末端的惯性参数的方法进行了分析和研究，并建立了惯性参数在线识别的神经网络模型，网络学习后其权值即为辨识的惯性参数。

Using these fault diagnosis rules, the fuzzy neural network model has been established with four characteristic parameters, namely condensing pressure, evaporating pressure, cooling capacity, compressor shaft power as system input and fault patter as system output.

并基于综合后的故障诊断规则，建立以冷凝压力、蒸发压力、制冷量、压缩机的轴功率等4个特征参数为系统输入量，故障模式为系统输出量的模糊神经网络模型。

A Neural Network Model of the Atomic Clock Signal

原子钟信号的神经网络模型

The neural network program module is trained offline, and uses error back propagation ( BP) algorithm, which is realized through a three layered feedforward neural network model.

神经网络模块采用离线训练方法，应用误差反向传播（BP）算法，选择前向三层人工神经网络的模型得以实现。

A credit scoring system based on BP ( back propagation) neural network model is presented in order to improve the accuracy and stability of the prediction. A new method for evaluating the accuracy and stability of the system is also presented.

为了提高信用评分系统的预测准确性和稳定性，建立了基于反向传播（BP）算法神经网络的信用评分系统，并提出信用评分系统预测力和预测稳定性验证的新方法。

Initial Viscosity Prediction of Bone Glue with BP Neural Network Model

采用BP神经网络模型预测改性骨胶的初始黏度

Nonlinear Dynamic Compensation of Sensors Based on Recurrent Neural Network Model

基于递归神经网络模型的传感器非线性动态补偿

Then it introduces the BP neural network model, including the process of the construction of the neural network model and study training, and gets neural network fitting residual graph and fitting values of the total amount of construction land from 1998 to 2005.

接着介绍了BP神经网络模型的构建过程，包括神经网络模型的设计和学习训练，得到神经网络拟合残差曲线图和潜江市1998&2009建设用地总量的拟合值。

A uniform design based neural network model for amino acid composition and optimum temperature of alcohol dehydrogenase

乙醇脱氢酶氨基酸组成和最适温度均匀设计的神经网络模型

By the use of the additional momentum method and adaptive learning rate of BP network, a neural network model was established to calculate the speed of tidal bore.

运用BP网络附加动量法和自适应学习速率法，建立神经网络模型，模拟计算涌潮波速。

Neural network model of burn through point temperature and ventilating index algorithm for sintering system

烧结系统终点温度与透气性算法神经网络模型

To guarantee the fast convergence of the proposed neural network model, the optimal adaptive learning rates are derived in the sense of discrete-type Lyapunov stability.

在离散型Lyapunov稳定性的意义下，导出了权值自适应学习速率的取值范围，保证控制系统的快速收敛。

The exponential stability of Cohen-Grossberg neural network model is considered.

研究了Cohen-Grossberg神经网络模型的指数稳定性.

Experiments on springback in concave and convex edge flanging are carried out. Method of the mixed-level orthogonal test design is used to select the training sets from experiment data, and a radial basis function ( RBF) neural network model for springback is developed.

对薄板内凹、外凸翻边进行了回弹试验，借助混合水平的正交试验设计方法从试验数据中选择训练样本，建立了回弹的径向基函数神经网络模型。