神经网络评价模型,model of evaluation of neural network英语短句,例句大全

神经网络评价模型,model of evaluation of neural network
1)model of evaluation of neural network神经网络评价模型

英文短句/例句

1.Research on evaluating model of BP neural networks in MCAI softwareMCAI软件BP神经网络评价模型
2.Study on BP Neural Networks Model for Evaluating Equipment Acquisition Risk装备采购风险的BP神经网络评价模型
3.The Fuzzy and Neural Network Model of Evaluation of Sustainable Development in Cities;城市可持续发展的模糊神经网络评价模型
4.Research on BP neural network model of performance appraisal for water resources carrying capacity;水资源承载力的BP神经网络评价模型研究
5.Study on BP Neural Network Evaluating Model of Tecnology Innovation Diffusion Environment;技术创新扩散环境的BP神经网络评价模型研究
6.Neural Net Model for Evaluating Validity of Price Competition;价格竞争有效性评价的神经网络模型
7.NEURAL NETWORK MODEL OF COLLEGE-STUDENT COMPLEX EVALUATION;大学生综合素质评价的神经网络模型
8.A model of evaluating teaching quality based on the BP neural network基于BP神经网络的教学质量评价模型
9.Underground water quality assessment based on ANN基于神经网络的地下水质量评价模型
10.Credit Scoring Model Using Fuzzy Neural Network System;基于模糊神经网络的信用评价模型研究
11.Supplier Evaluation Model Based on Discrete Hopfield Neural Network;基于离散型Hopfield神经网络的供应商评价模型
12.Medicine Venture Capital Investment Evaluation Model Based on ANN基于神经网络的医药高科技投资风险评价模型
13.Study of Intelligent Neural Network Model for Dam Safety Monitoring and Safety Evaluation;大坝安全监控及评价的智能神经网络模型研究
14.A Study on the Environmental Quality Assessment Model Based on BP Artificial Neural Networks;基于BP人工神经网络的环境质量评价模型研究
15.Research on the Application of the BP Nerve Network Model for the Financial Investment Risk Appraisal;金融投资风险评价BP神经网络模型研究及应用
16.Study on a Credit Evaluation Model and Algorithm Base on Neural Network;一种基于神经网络的信用评价模型与算法研究
17.Optimization and Application of Water Quality Assessmental Model Based on Genetic Algorithms and Artificial Neural Networks;基于遗传神经网络的水质评价模型优化及应用
18.Evaluation of Automobile Seat Comfort Based on Artificial Neural Networks;基于人工神经网络的汽车座椅舒适度评价模型

相关短句/例句

Fuzzy Evaluating Neural Network模糊评价神经网络
3)BP neural network modelBP神经网络模型
1.The Study on the Forecasting Methods of Urbanization level——Taking BP Neural Network Model as an Example;城市化水平预测方法研究——以BP神经网络模型的应用为例
2.Through the establishment of water environment management information system of Supa River basin, an improved BP neural network model made for the comprehensive assessment on the water quality of the basin concerned is presented in accordance with the condition with better water quality and without any principal economic industries therein.通过建立苏帕河流域水环境管理信息系统,针对苏帕河流域没有主要经济产业、水质较好的状况,侧重于介绍建立改进的BP神经网络模型对流域的水质进行综合评价。
3.It is introduced that the BP neural network model of prediction of mining collapse is established based on the survey′s data and main factors at a mine field where the collapse had happen.依据某煤炭开采区的勘察资料 ,综合考虑影响采空塌陷的主要因素 ,建立了预测采空塌陷的 BP神经网络模型。
4)Neural Network model神经网络模型
1.Application of neural network model in petroleum resource predication;人工神经网络模型在石油资源预测中的应用
2.Artificial neural network model supporting decision-making of product procedure;支持产品方案决策的人工神经网络模型构建
3.Urban forest remote sensing investigation based on neural network model technology in the main city of Nanjing;基于神经网络模型技术的南京市主城区城市森林遥感调查
5)artificial neural network神经网络模型
1.Studies on Planthoppers Occurrence Degree with the Artificial Neural Network;稻飞虱发生程度的神经网络模型拟合研究
2.The electric-thermal parameters of the bridgewire electric explosive device such as resistance and heat loss coefficient were measured with the non-destructive transient pulse test system under non-destructive conditions,then the no-firing current of the electric explosive device was predicated using the Rosenthal mathematical model and the back-propagation(BP) artificial neural network model.通过瞬态脉冲无损检测试验得到桥丝式电火工品的电阻和集总热散失系数等电热响应参数,利用这些电热响应参数分别采用Rosenthal的集总热参数模型和BP神经网络模型方法预测电火工品的安全电流。
3.In this paper,a knowledge based artificial neural network is used to model the microstrip radial stub.本文采用基于知识的人工神经网络模型模拟微带径向短截线的特性 ,利用已经具有的先验知识减小神经网络输入输出映射关系的复杂程度有效减少了训练样本的数量。
6)neural network神经网络模型
1.The factors affecting the deformation of surrounding rock in tunnel are complicated and uncertain, however, neural network can not allow for the quantitative but the qualitative factors, this ability of neural network is suitable to forecast the deformation of the surrounding rock in tunnel.系统分析了影响巷道围岩变形的因素,构建了巷道围岩变形预测的神经网络模型,经过改进的网络模型具有较好的收敛性和稳定性。
2.The neural network model with input of vibration frequency about melt flow rate, crystallite structure as well as stretch strength of polymer products was established.利用实验数据 ,分析与研究振动场振动参数对聚合物挤出制品质量的影响 ,对聚合物挤出制品的熔体流动速率、微晶结构、拉伸强度等主要性能质量指标 ,建立以振动频率为主要控制变量的神经网络模型 ,并引入信息分配模型 ,探讨了一个网络输入节点下神经网络学习样本的特征提取与优化。
3.This article expounds the predictable principle and the method of time series and neural network models.阐述了时间序列模型和BP神经网络模型预测的原理和方法。