搜索结果: 91-105 共查到“工学 Neural network”相关记录125条 . 查询时间(0.14 秒)
Differentiating Type of Muscle Movement via AR Modeling and Neural Network Classification
Myoelectric signals artificial neural networks classification
2009/7/27
The aim of this study is to classify electromyogram (EMG) signals for controlling multifunction proshetic devices. An artificial neural network (ANN) implementation was used for this purpose. Autoregr...
Improved Ultrasonic Offshore Oil Pipeline Thickness Accurate Detection Using Hilbert-Huang Transform and Elman Neural Network
Elman neural network Hilbert-Huang transform Feature extraction
2009/7/27
Pipeline flaw detection and safety evaluation are very important because of internal corrosion usually caused by the presence of the water (salty or not), and external damage by anchors or other equip...
Screening Using Artificial Neural Network of Additives for Cu-Zn Oxide Catalyst for Methanol Synthesis from Syngas
Methanol synthesis Neural network Physicochemical property
2009/7/24
The activity of Cu-Zn oxide catalysts for methanol synthesis from syngas varies depending on the additives to the oxide, and optimum composition is sensitive to the reaction conditions. An artificial ...
Development of a Co-MgO Catalyst for High-pressure Dry Reforming of Methane Based on Design of Experiment, Artificial Neural Network and Grid Search
Methane dry reforming Combinatorial catalysis Design of experiment
2009/7/24
Dry reforming of methane is a potentially important process to convert the greenhouse gases carbon dioxide and methane simultaneously to syngas (CO + H2). The most serious problem with the dry reform...
Optimization of Cu-based Oxide Catalyst for Methanol Synthesis Using a Neural Network Trained by Design of Experiment
Combinatorial chemistry High-throughput screening Neural network
2009/7/23
Cu-Zn oxide catalyst for methanol synthesis was optimized using an activity map by neural network method. The catalyst composition was determined randomly and the training data were measured in a hig...
Optimization of Cu-based Oxide Catalyst for Methanol Synthesis by the Activity Map Envelope Derived from a Neural Network
Combinatorial chemistry High-throughput screening Genetic algorithm
2009/7/23
The combinatorial approach is a successful tool for material development and for heterogeneous catalyst development. Combinatorial tools were developed consisting of a high-throughput screening react...
Neural Network for Predicting Thermal Conductivity of Knit Materials
Neural Network Predicting Thermal Conductivity Knit Materials
2009/7/21
The major aim of comfort research is to find the comfort temperature for an individual or group. This subjective property can be evaluated by means of thermal conductivity as a physical characteristic...
Verification of filter efficiency of horizontal roughing filter by Weglin's design criteria and Artificial Neural Network
filter efficiency horizontal roughing filter Weglin's design criteria Artificial Neural Network
2010/9/20
The general objective of this study is to estimate the performance of the Horizontal Roughing Filter (HRF) by using Weglin's design criteria based on 1/3–2/3 filter theory. The main objective of the p...
基于计算机视觉和神经网络的牛肉颜色自动分级（Automatic Color Grading of Beef Lean Tissue Based on BP Neural Network and Computer Vision）
牛肉 颜色 分级 神经网络
2009/5/22
将采集的牛胴体眼肌切面图像人工确定其颜色等级，然后通过计算机图像处理方法，分割出肌肉区域并提取出其在RGB和HIS颜色空间的颜色特征参数。设计一个以牛肉的颜色特征参数为输入、牛肉的颜色等级为输出的BP神经网络模型，通过训练，确定模型的结构参数，用测试样本对该模型进行验证。结果显示，用该模型进行牛肉颜色等级预测的正确率可达95%，耗时仅0.25s。表明利用所设计的模型可以对牛肉的颜色等级进行快速、准...
基于神经网络的空气悬架系统匹配优化（Neural Network Optimization on Matching of Air Suspension System）
汽车 空气悬架 阻尼 匹配
2009/5/22
建立了空气悬架双质量模型，提出了基于RBF神经网络优化的系统阻尼和空气弹簧匹配的优化方法。匹配求优时，选取车身加速度和轮胎动载荷加权和最小值为优化目标，以悬架动行程最大值为约束。仿真结果表明，客车的平顺性和轮胎接地性都得到改善。台架试验与仿真结果基本吻合。
基于小波变换和BP神经网络的蛋壳破损检测（Crack Detection in Eggs with Multi-level Wavelet Transform and BP Neural Network）
鸡蛋 破损 检测
2009/5/22
提出了一种基于多层小波变换和纹理分析的蛋壳破损检测方法。该方法对获取的鸡蛋透射图像G分量在不同水平上进行小波分解，计算和分析各水平高频细节子图像的纹理特征参数，实验确定最有效的8个特征参数作为BP网络输入，建立结构为8—20—2的BP神经网络蛋壳破损分类模型。实验表明，该方法对无破损蛋、线状破损蛋、网状破损蛋和点状破损蛋的判别正确率分别为95%、90%、95%、80%，平均识别率为90%。
基于遗传算法和神经网络的车辆主动悬架控制技术（Control Technology of Vehicle Active Suspension Based on Genetic Algorithm and Neural Network）
车辆 主动悬架 神经网络
2009/5/22
采用遗传算法与神经网络相结合的控制策略，以四自由度车辆主动悬架半车模型为仿真对象，与传统的被动悬架进行控制性能比较。通过改变神经网络训练参数、遗传算法输入函数以及车速，对系统的响应特性进行了分析。结果表明车辆主动悬架控制策略可以减小车辆的振动，改善车辆行驶平顺性。
STLF Based on Optimized Neural Network Using PSO
Large Neural Network Short-Term Load Forecasting Particle Swarm Optimization
2010/2/2
The quality of short term load forecasting can improve
the efficiency of planning and operation of electric utilities. Artificial
Neural Networks (ANNs) are employed for nonlinear short term load
f...
Estimation of Welding Distortion Using Neural Network
estimation welding distortion neural network
2009/4/29
The residual deformation induced by welding processes becomes a cause of repair work at the subsequent process. Therefore it is necessary to manage the assembly of welded structures by estimating acc...
Neural network intelligent system for the on -line optimization in chemical plants
artificial neural network on-line optimization intelligent system
2009/3/30
Neural network intelligent system for the on -line optimization in chemical plants。