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- Rong Yajun, Dou Chunxia, Yuan Shiwen.A design of fuzzy neural network forecast controller on superheat temperature[J].Proceedings of the CSEE, 2003, 23(1): 177-180. [8]荣雅君;窦春霞;袁石文.;过热汽温模糊神经网络预测控制器的设计[J]
- Comparing the result of neural network forecast with that of numerical simulation, fracture time forecasted by the artificial neural network is precise and reliable. 最后将神经网络预测结果与数值计算结果对比,认为应用人工神经网络对立井井筒破裂时间的预测比较准确、实用。
- The acid rain time series was used as the basis of training for generating input data and expectations of output data, and establishing time series neural network forecasting model. 摘要使用酸雨时间序列作为训练样本的基础，生成训练样本输入数据和期望输出数据，建立时间序列神经网络预测模型。
- The Research on Neural Network Forecast of Gasoline Engine Intake Flow during Transient Conditions 汽油机过渡工况进气流量的神经网络预测研究
- Artificial Neural Network Forecast Model for Slope Deformation of Large-Scale Dry-Dock 大型干坞边坡变形及其神经网络预测模型
- According to the nonlinear characteristics of sliver evenness,a local linear forecasting method and a global neural networks forecasting method were given to predict a segment of sliver evenness. 根据纱条不匀存在着的非线性、时变性和不确定作用关系,应用局域线性预测法和全局神经网络预测法进行了预测分析。
- Neural Network Forecasting Time Sequence of the Power Plant 火电厂时间序列的神经网络预报
- AE neural network forecasting method of coal and gas outburst 煤与瓦斯突出声发射的神经网络预测方法
- neural network forecast 网络预测
- neural network forecast model 神经网络预测模型
- Application of Grey Neural network Forecasting Algorithm in DMF Reclaim Process 灰色神经网络预测算法在DMF回收过程中的应用
- Neural Network Trace Editor Training. 神经网络道编辑训练。
- In this paper,Artificial Neural Network (ANN) is adopted to forecast the Changes of Exchange Rate of USD/DEM. 本文尝试用人工神经网络方法(Artificial Neural Network;简称ANN)预测USD/DEM汇率.
- Concrete Crack; Neural Network; Gray Theory; Relational degree Analysis; Crake width forecast. 01混凝土裂缝;神经网络;灰色理论;知识表示模式;关联度分析;裂缝宽度预测
- Conclusion BP artificial neural network can be used to forecast for disease incidence or mortality. 结论BP人工神经网络可以用于疾病发病率或死亡率的预测。
- The example shows that neural network can obtain the satisfied forecast precision and the reliable forecast results. 实例表明,神经网络可以取得满意的预测精度,预测的结果更加可靠。
- On the basis of chaotic time series,this paper uses the BP neural network method to forecast the power load,and analyzes the model characteristic. 在混沌时间序列的基础上,应用BP神经网络对电力负荷进行了预测,并对模型特性进行了分析。
- Subsequently, Backpropagation Neural Network（BPN）will be applied to forecast customer’s loyalty and to provide useful information to the sellers. 数据显示政府的经费支持，对政府科技政策的落实，以及提供厂商外部技术来源，扮演非常重要的角色。
- In allusion to the non-linear and complex character in EDM,an effect forecast model is established based on artifical neural network. 针对电火花加工非线性及复杂性的特点,提出了基于遗传神经网络的电火花加工效果的预测模型。
- Neural Networks Horizon Picker Training. 神经网络层位拾取训练。
