Posts Tagged ‘Least square support vector machine’:

Research on the Method of Multi-modeling Soft Sensor Based on Double Layer Intelligent Structure

With the development of the economy and the increase of the information for large petrochemical enterprises, as an efective method of realizing high-quality, stable and balanced production, the advanced control gets wider application.Soft sensor technology is an effective method to solve the problem of real-time measurement of the important production parameters such as the quality.

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Research on the Method of Multi-modeling Soft Sensor Based on Double Layer Intelligent Structure

With the development of the economy and the increase of the information for large petrochemical enterprises, as an efective method of realizing high-quality, stable and balanced production, the advanced control gets wider application.Soft sensor technology is an effective method to solve the problem of real-time measurement of the important production parameters such as the quality.

(Read More…)

Research on the Method of Multi-modeling Soft Sensor Based on Double Layer Intelligent Structure

With the development of the economy and the increase of the information for large petrochemical enterprises, as an efective method of realizing high-quality, stable and balanced production, the advanced control gets wider application.Soft sensor technology is an effective method to solve the problem of real-time measurement of the important production parameters such as the quality.

(Read More…)

Research on Algorithms for Feature Incremental Learning Based on Support Vector Machine

As the arrival of the information age, especially with the rapid development of network and the “information explosion”, the traditional technology of information mining and knowledge accessing is facing great challenges. On one hand, we have a great deal of data, which contains information and knowledge of great potential value. On the other hand, the

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Study and Application of Grey Support Vector Machines

For small sample of data information processing, At present, many scholars do considerable researches about gay Support Vector Machine models and made out some achievements, gay Support Vector Machine models can make up the lack of only using anyone of them, and have better data processing and prediction, So it has become a very important

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Research and Application on the Method of Soft Sensor Based on Multi-model Fusion

With a minimum cost to produce the most high quality product is the purpose of all industrial production. The difficulty of achieving this goal is that it needs real-time analysis and strictly control the quality of products or the important process variables closely related with the quality of products. Along with the rapid development of

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Research on Adaptive Predictive Control of Networked Control Systems

Recently there has been much interest in networked control systems (NCS), that is, control systems with a feed-back loop closed through a communications network or a field bus. The presence of the communication network, however, complicates the application of standard results and algorithms of control theory. The problem lies with the communication channel restricting access

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Research on Principle Prototype and Performance Test of Bionic Polarization Sensor for Navigation

Navigation technology plays an important role in human survival and development. The hot issues of current research of navigation technology include: optimization of single navigation sensor performance, multiple sensors information fusion, novel principle navigation sensor exploitation. The perfect navigational capabilities of some insects afford us plenty of technology reference on novel navigation sensor research. Based

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The Study of Modeling Algorithm Based on LS-SVM and Predictive Control Algorithm

The problems of nonlinear modeling and predictive control design based on Least Squares Support Vector Machines(LS-SVM) method are mainly studied in this dissertation. The main contents are outlined as follows,1. A modified least squares support vector machines (LS-SVM) approach, which treats the training data points differently according to their different degrees of importance, is proposed.

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