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基于改进BP神经网络的排种器充种性能预测（Prediction for Performance of Seed-filling Process Based on Improved BP Neural Network）
排种器 充种 性能预测 BP神经网络
2010/12/29
充种性能直接影响排种器排种质量，应用Matlab神经网络工具箱建立了排种器充种单粒率η1和空穴率η2的改进BP神经网络预测模型。选取转速n、种子当量直径d、充种角β和型孔直径D作为试验因素进行充种性能试验，获得64组单粒率和空穴率的试验结果。选取55组结果作为训练样本，采用Levenberg-Marquardt训练方法对建立的网络进行训练，并选取剩余的9组结果对训练好的网络进行仿真预测。其中，n、...
基于神经网络的车辆排气噪声声音品质预测技术（Sound Quality Prediction of Vehicle Exhaust Noise Based on Neural Network）
车辆 声音品质 排气噪声 神经网络
2010/12/29
通过评审团成对比较法测试得到18种车辆排气噪声的满意度评价，考察并选取响度、尖锐度、粗糙度、波动度和峭度作为描述车辆排气噪声声音品质的客观心理声学参数，使用BP神经网络理论建立车辆排气噪声声音品质神经网络预测模型，对排气噪声样本的满意度进行预测，并与使用多元线性回归模型所得的预测值进行了比较。结果表明，神经网络模型预测值更接近实测值，误差在10%范围以内，对于单一噪声样本满意度的预测精度高于多元线...
基于神经网络的离心泵能量性能预测（Energy Characteristics Prediction of Centrifugal Pumps Based on Artificial Neural Network）
离心泵 性能预测 神经网络
2010/12/29
总结了BP网络和RBF网络在离心泵能量性能预测中的应用现状，介绍了这两种网络的结构及特点。分别采用BP网络和RBF网络建立了离心泵能量性能预测模型。用57组数据对这两个预测模型进行了训练，并用6组数据对两种网络结构的性能预测模型进行了仿真。研究结果表面：两种网络结果的预测模型预测精度比较接近且预测结果的趋势也相同，BP网络预测精度略高于RBF网络；BP网络扬程平均预测误差为3.85%，效率平均预测...
基于遗传模糊神经网络的植物病斑区域图像分割模型（Image Segmentation Model of Plant Lesion Based on Genetic Algorithm and Fuzzy Neural Network）
植物病害 遗传算法 模糊神经网络
2010/12/29
针对植物病斑区域图像边界的模糊性和不确定性因素，利用模糊逻辑的推理规则和神经网络的自适应性，提出全规则的自适应模糊神经网络模型作为植物病叶图像像素归属的决策系统，并利用遗传算法对系统的可调整参数初始值进行全局优化，提高了网络训练速度，避免了传统BP算法的局部最小值。通过对马铃薯早疫病病斑图像分割的实验表明，该模型速度快且稳定，精度高且鲁棒性好，简单易于实现。
静液驱动履带车辆转向神经网络PID控制仿真（Steering Neural Network PID Control for Tracked Vehicle with Hydrostatic Drive）
履带车辆 静液驱动 转向 神经网络
2010/12/29
根据履带车辆转向运动学和动力学分析，提出转向控制策略，可在满足系统压力限制以及保证车辆转向安全条件下自动降低平均车速以保证驾驶员期望转向半径的准确实现。转向控制器由神经网络PID控制器和泵马达排量控制器组成。运用Matlab/Simulink对系统进行神经网络转向控制仿真分析，仿真结果表明，与传统PID控制相比较，神经网络控制输出超调量由10.5%降至4.1%，控制响应时间由4.8s降至2.2...
A novel method for lung segmentation on chest CT images: complex-valued artificial neural network with complex wavelet transform
Lung segmentation complex wavelet transform complex-valued artificial neural network
2010/10/12
Image segmentation is an important step in many computer vision algorithms. The objective of segmentation is to obtained an optimal region of convergences (ROC). Error in this stage will impact all hi...
Analysis of Mean Monthly Rainfall Runoff Data of Indian Catchments Using Dimensionless Variables by Neural Network
Dimensional Variables Artificial Neural Networks Rainfall–Runoff
2013/3/13
This paper focuses on a concept of using dimensionless variables as input and output to Artificial Neural Network (ANN) and discusses the improvement in the results in terms of various performance cri...
Wavelet Neural Network Based on NARMA-L2 Model for Prediction of Thermal Characteristics in a Feed System
wavelet neural network NARMA-L2 model particle swarm optimization
2011/8/3
Research of thermal characteristics has been a key issue in the development of high-speed feed system. Most of the work carried out thus far is based on the principle of directly mapping the thermal e...
Hybrid Neural Network Architecture for On-Line Learning
Neural Networks Instantaneously Trained Networks Back-Propagation On-Line Learning
2013/1/28
Approaches to machine intelligence based on brain models use neural networks for generalization but they do so as signal processing black boxes. In reality, the brain consists of many modules that ope...
Comparative Study of Response Surface Methodology, Artificial Neural Network and Genetic Algorithms for Optimization of Soybean Hydration
response surface methodology (RSM) artificial neural network (ANN) genetic algorithms (GA) soybean soaking
2010/8/11
The present investigation deals with the modelling and optimization of soybean hydration for facilitating soybean processing and it focuses on maximization of mass gain, water uptake and protein reten...
Artificial neural network based chaotic generator for cryptology
Artificial neural network chaos cryptology
2010/10/12
Chaotic systems are sensitive to initial conditions, system parameters and topological transitivity and these properties are also remarkable for cryptanalysts. Noise like behavior of chaotic systems i...
Neural Network Compact Ensemble and Its Applications
neural network compact ensemble(NNCE) combination weights classification performance
2011/8/3
There has been many methods in constructing neural network (NN) ensembles, where the method of simultaneous training has succeed in generalization performance and efficiency. But just like regular met...
Modeling of heat and entropy sorption of maize (cv. Sc704): neural network method
maize back propagation entropy isosteric heat sorption isotherm
2014/2/26
Equilibrium moisture content of maize affects its values of dehydration heat and entropy. Precise prediction of heat and entropy with regard to its equilibrium moisture content is a simple and fast me...
An Intelligent Machine Condition Monitoring System Using Time-Based Analysis: Neuro-Fuzzy Versus Neural Network
Condition Monitoring Time Analysis Neuro-Fuzzy
2010/1/15
Monitoring and predicting machine components' faults play an important role in maintenance actions. Developing an
intelligent system is a good way to overcome the problems of maintenance management. ...
Product Cost Management Structures: a review and neural network modelling
Activity Based Costing (ABC) Enterprise Resource Planning (ERP) Neural Networks
2009/12/8
This paper reviews the growth of approaches in product costing and draws synergies with information management and resource planning systems, to investigate potential application of state of the art m...