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原件psotb-beta-0.3
- 基于matlab开发的pso程序，并且加以改造运用到软测量中，效果不错，大家可以-Matlab-based development PSO procedures, and to transform the use of soft measurement, worked quite well. we can s
MatlabSoftApp
- 利用Matlab神经网络工具结合一个工业实例阐述了其在软测量建模中的应用
NeuralNetwork_lssvm
- 神经网络和最小二乘支持向量机的软测量技术应用研究-Based on neural network and the least squares support vector machine of soft measurement technology application research
PS0-SVR
- ：针对发酵过程中生物参数难以实时在线测量的问题，建立了用于生物参数状态预估的 支持向量机软测量模型。考虑到该支持向量回归(SVR)模型的复杂性和冷化特征取决于其三 个参数 ，c， 能否取到最优值，采用粒子群优化(PSO)算法实现对参数 ，c， 的同时寻优。在 此基础上，以饲料用 ．甘露聚糖酶为对象，建立了基于PSO—SVR的发酵过程产物浓度状态预估 模型。发酵罐控制结果表明：该模型具有很好的学习精度和泛化能力，可实现对 ．甘露聚糖酶 产物浓度的实时在线预估。-In
N050602
- 实现神经网络逆软测量,通过构建内含传感器来构建神经网络逆软测量仪表-ANN soft-sensing method
RBF-neural-network-based-on-RS-theory-of-grinding.
- 基于RBF神经网络和RS理论的磨矿分级系统软测量模型-RBF neural network based on RS theory of grinding and classification system of soft sensor model
ruanceliang
- 过程神经网络运用偏最小二乘法污水处理波动软测量-Process neural network using partial least squares treatment of soft measuring fluctuations
guochengshenjingwangluo
- 过程神经网络软测量测试出不能实际测量的值-Process neural network soft sensor can not test the actual measured values
LSl
- LS_SVM的烧结矿化学成分软测量模型LS_SVM sinter chemical composition soft sensor model-LS_SVM sinter chemical composition soft sensor model
tions
- LS_SVM软测量模型工业应用LS_SVM soft sensor model and its industrial applications-LS_SVM soft sensor model and its industrial applications
hgfhf
- LS_SVM的软测量模型及其工业应用LS_SVM soft sensor model and its industrial application-LS_SVM soft sensor model and its industrial application
partial-least-square-and-modeling
- 能够实现偏最小二乘建模和特征建模，这是软测量技术上面的只是，对建模有一点点帮助-partial least square and modeling
soft-sensor
- rbf神经网络软测量matlab程序，svm软测量matlab程序-RBF neural network soft measurement Matlab procedures, SVM soft Matlab procedures
elm
- 极限学习机是由黄广斌在2005年作为一种新的单隐层前馈神经网络提出的，具有与神经网络（NN）相同的全局逼近性质，且其参数学习无需迭代，速度明显快于现有的神经网络。目前在岩性识别、LF终点温度软测量、穿孔机导盘转速测量、软测量建模、图像识别等方面有所应用，但将其用于图像分割中的应用还较少。-Extreme learning machine is by Huang guangbin in 2005 as a new single hidden layer feedforward neural net
chengxu
- 通过软测量的方法实施上浆率精确检测，得出的结果可以看出SVM模型的收敛速度更快，预测精度更高。(Through the method of soft measurement, the accurate detection of sizing rate is realized.The results show that the convergence rate of SVM model is faster and the prediction accuracy is higher.)
PSO-SVM
- 利于PSO优化的SVM，可用于解决软测量建模过程中的非线性问题(SVM, which is beneficial to PSO optimization, can be used to solve the nonlinear problems in soft sensor modeling)
软测量参考程序
- 本文件为神经网络参考程序，可提供给初学者进行参考(This document is a neural network reference program, can provide reference for beginners)
DBN-ELM-master
- DBN-ELM应用于软测量，可以预测精度，并且可以和其它软测量模型进行对比。(Application of DBN-ELM in Soft Sensing,it can predict the accuracy and compare with other soft sensor models.)