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octane-1.01.20-src
- Octane v1.01.20 The Open Compression Toolkit for C++ . The Open Compression Toolkit is a set of modular C++ classes and utilities for implementing and testing compression algorithms. Simple interface and skeleto
Octane SDK workbook
- Octane SDK 文档适用Impinj读写器。
octane-1.01.20-src
- Octane v1.01.20 The Open Compression Toolkit for C++ . The Open Compression Toolkit is a set of modular C++ classes and utilities for implementing and testing compression algorithms. Simple interface and skeleto
ELM
- 训练集/测试集产生 load spectra_data.mat 随机产生训练集和测试集 temp = randperm(size(NIR,1)) 训练集——50个样本 P_train = NIR(temp(1:50),:) T_train = octane(temp(1:50),:) 测试集——10个样本 P_test = NIR(temp(51:end),:) T_test = oc
RBP
- 由matlab神经网络工具箱提供的函数，利用BP神经网络及RBF神经网络分别建立汽油样品近红外光谱及其辛烷值的数学模型，并对模型的性能评价。-Provided by the matlab neural network toolbox functions, the use of BP neural network and RBF neural networks were established near infrared spectros
infrared-spectroscopy-to-predict
- 有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测-Supervised learning neural network regression- based on the gasoline octane number of the near-infrared spectroscopy to predict
nnrf
- 学习神经网络的回归拟合，举例：基于近红外光谱的汽油辛烷值预测-Learning neural network regression fit, for example: gasoline octane number prediction based on near-infrared spectroscopy
neural-network-fit
- 有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测-Learning from regression neural network fit- based on near-infrared spectroscopy to predict gasoline octane
dl
- 有导师学习神经网络的回归拟合-基于近红外光谱的辛烷值预测-Learning regression neural network fit- based on near-infrared spectroscopy octane forecast
BPYUCE
- 分别用BP神经网络和RBF神经网络实现近红外光谱的汽油辛烷值预测，两种方法用相对误差以及决定系数进行性能评价，最后绘制图仿真曲线。有较为详细的注释，并有仿真数据-Respectively with BP neural network and RBF neural network Near Infrared Spectroscopy Gasoline Octane prediction, two methods relative erro
chapter25
- 有导师神经网络的回归拟合——基于红外光谱的汽车辛烷值检测-There tutor neural network regression- Car octane detection based on infrared spectroscopy
main
- 有导师学习神经网络的回归拟合——基于近红外光谱的汽油辛烷值预测-Supervised learning neural network regression fit- based on Near Infrared Spectroscopy Gasoline Octane forecast
ideal-cascade_C8H18
- 程序计算了以正辛烷为介质、在理想级联的状态下进行级联分离，计算得到了级联各级各组分的丰度等信息-The program calculates the n-octane as a medium to carry out the separation cascade in the state over the cascade, calculated the abundance of each component cascading leve
shenjingwangluo
- 基于有导师学习神经网络对近红外光谱的汽油辛烷值预测拟合-Based on supervised learning neural network on Near Infrared Spectroscopy Gasoline Octane forecast Fitting
chapter30
- matlab实现极限学习机的回归拟合及分类——对比实验研究，例子是回归拟合——基于近红外光谱的汽油辛烷值预测-Regression Fitting and Classification of Limit Learning Machines- Comparative Experimental Study, Example of Regression Fitting- Prediction of Gasoline Octane Number
infrared-spectrum
- Regression fitting prediction of gasoline octane number by infrared spectrum
Prediction-octane-number-
- Prediction of gasoline octane number by ELM regression fitting near infrared spectroscopy.rar
Octane-SDK-(.NET)-v1.0.0
- RFID射频识别Imnpinj阅读器开发SDK包-RFID reader SDK package, can be used in the development of Impinj reader
main
- 神经网络算列——基于汽油辛烷值预测案列！比较好的一个BP和RBF实践例子(Neural network scheduling -- Based on gasoline octane prediction! A good example of BP and RBF practices)
ELM代码
- 为了评价ELM的性能，试分别将ELM应用于基于近红外光谱的汽油辛烷值测定和鸢尾花种类识别两个问题中,并将其结果与传统前馈网络(BP、RBF、PNN、GRNN等)的性能和运行速度进行比较,并探讨隐含层神经元个数对ELM性能的影响。(n order to evaluate the performance of ELM, test the application of ELM in the near infrared spectroscopy