人工神经网络,artificial neural network
1)artificial neural network人工神经网络
1.Process optimization of the synthesis of anhydrovinblastine using artificial neural networks;基于人工神经网络的合成脱水长春碱工艺优化研究
2.Predicting the coal and gas outburst using artificial neural network;用人工神经网络预测煤与瓦斯突出
3.Studies on rates of crystal growth for polyethylene by an artificial neural network method;人工神经网络方法与聚乙烯晶体生长速度模型的研究
英文短句/例句

1.Development and Prospect of Artificial Neural Network and Neural Network Control(NNC)人工神经网络与神经网络控制的发展及展望
2.ARTIFICIAL NEURAL NETWORKS AND APPLICATIONS TO ECONOMIC FILED;人工神经网络及其在经济领域的应用
3.Evaluation Model on Organizational Networking Based on Artificial Neural Networks;人工神经网络在组织网络化发展评价中的应用
4.Sales Volume Prediction of Goods Based on ANN基于人工神经网络的商品销售额预测
5.Combined ANN forecast of water-inrush from coal floor煤层底板突水组合人工神经网络预测
6.Study of the ANN Approach for Back Analysis of Displacements位移反分析的人工神经网络方法研究
7.TRANSIENT STABILITY ANALYSIS BASED ON ANN基于人工神经网络的暂态稳定性分析
8.The adaptive current protection based on ANN基于人工神经网络的自适应电流保护
9.Torque Estimation of Vehicle Engine Based on Artificial Neural Networks;基于人工神经网络的发动机转矩估计
10.Based on Artificial Neural Networks the Diesel Engine Speed Control;基于人工神经网络的柴油机转速控制
11.Research of Structural Reliability Analysis Based on Artificial Neural Network;基于人工神经网络的结构可靠性分析
12.Study on the Selection of Piles with Artificial Neural Network;基于人工神经网络的桩基础选型研究
13.Artificial Neural Networks Aids to Design HPMC Sustained-release Tablets;人工神经网络辅助HPMC缓释片处方设计
14.Preliminary Studies on Real Estate Appraisal Based on ANN;基于人工神经网络的房地产估价研究
15.Study of Adaptive Web Site Based on Artificial Neural Network;基于人工神经网络的自适应站点研究
16.Research on DNA Models of Artificial Neural Networks;人工神经网络的DNA计算模型的研究
17.Diagnosis of Faulty Porcelain Insulators Based on Artificial Neural Network;基于人工神经网络的不良绝缘子诊断
18.Neural Networks and Its Applications to the GDP Forecasting;人工神经网络在GDP预测中的应用研究
相关短句/例句

artificial neural networks人工神经网络
1.The expert system of electrical upsetting process for valve based on artificial neural networks;基于人工神经网络的气门电热镦粗工艺专家系统
2.Prediction of the flash points of alkanes by group bond contribution method using artificial neural networks;人工神经网络基团键贡献法预测烷烃闪点
3.Analysis of regional competitiveness of Chinese iron and steel industry by using artificial neural networks;中国钢铁工业区域竞争力的人工神经网络判定
3)ANN人工神经网络
1.ANN study on gas chromatographic retention indices of alkene series;人工神经网络对烷烃同系物气相色谱保留指数的预测
2.Using Artificial Neural Network(ANN) to quantitatively predict allopurinol release from HPMC sustained release tablets;人工神经网络预测别嘌醇HP MC缓释片药物释放
3.Discussion about Hidden-layer Structure of Electrode Property Prediction System Based on ANN;基于人工神经网络的焊条性能预报系统隐含层结构讨论
4)neural network人工神经网络
1.Identification research of major hazards based on fuzzy evaluati on and neural network;基于模糊评判人工神经网络的重大危险源辨识研究
2.Wax deposition rate model for crude oil pipeline based on neural network;基于人工神经网络的原油管道蜡沉积速率模型
3.Oil aeromagnetic data processing by neural network theory;应用人工神经网络理论处理航磁找油资料
5)artificial neural network(ANN)人工神经网络
1.In this article,artificial neural network(ANN) model was presented to simulate reactive distillation.利用人工神经网络(ANN)模型来模拟反应精馏过程。
2.The analysis model of the artificial neural network(ANN) between dominating factors and prediction index for size-limited structures was built.利用煤巷掘进过程中所暴露出的大量的煤层信息,确定了与煤巷掘进前方小构造存在密切关系的影响因素,分析了煤层倾角、煤层厚度、涌水量、瓦斯等各个影响因子,选出主控因子,建立主控因子与煤巷掘进前方小构造预测危险性指数间的人工神经网络(ANN)分析模型,求取了各影响因素对前方小构造预测的权重系数,并建立了煤巷掘进前方小构造预测预报的ANN模型及其判据。
3.By means of artificial neural network(ANN),continuous aging proess of Mg-Al hydrotalcite is under review to seek optimal operating condition.采用人工神经网络方法对镁铝水滑石的连续晶化过程进行了研究,以便找出最佳的晶化条件。
6)BP artificial neural networkBP人工神经网络
1.Calculation of thixotropic stress of waxy crude oil by BP artificial neural network;基于BP人工神经网络的含蜡原油触变应力计算
2.Application of BP artificial neural network model in forecast of quantity of precipitation;降水量的BP人工神经网络预测模型及其应用
3.Dividing of Soil and Water Loss Grade with BP Artificial Neural Network;应用BP人工神经网络技术划分水土流失等级
延伸阅读

人工神经网络人工神经网络artificialneuralnetwork一种模仿动物神经网络行为特征的分布式并行信息处理算法结构的动力学模型。它用接受多路输入刺激,按加权求和超过一定阈值时产生“兴奋”输出的部件来模仿动物神经元的工作方式,并通过这些神经元部件相互联接的结构和反映关联强度的权系数使其“集体行为”具有各种复杂的信息处理功能。特别是这种宏观上具有鲁棒、容错、抗干扰、适应性、自学习等灵活而强有力功能的形成不是由于元部件性能不断改进,而是通过复杂的互联关系得以实现,因而人工神经网络是一种联接机制模型,具有复杂系统的许多重要特征。人工神经网络适用于信号处理、数据压缩、模式识别、机器人视觉、知识处理及其应用,预测、评价和决策问题,调度排序、路由规划等组合优化问题。在控制系统设计中它可用于模拟被控对象特性、搜索和学习控制规律、实现模糊和智能控制。