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This electronic For the limitations of dependence on previous experience and neural network forecasting model in current thunderstorm prediction. Considering the characteristics of the thunderstorm in Chongqing, the thunderstorm prediction model based on least square support vector machine (LS-SVM) is established. The data are preprocessed by principal component analysis(PCA) firstly. Then, the search...
A multi-layer adaptive optimizing parameters algorithm is developed for improving least squares support vector machines (LS-SVM), and a military equipment intelligent cost estimation model is proposed based on the optimized LS-SVM. The intelligent cost estimation process is divided into three steps in the model. In the first step, cost-drive-factor is needed to be selected, which is significant for...
In view of the corrosion of cooling water system, the dynamic simulation test was conducted with the cooling water dynamic simulation experiment device. In the test period the corrosion rate and the water quality factors were monitored. Based on the test data, an intelligent prediction model of cooling water corrosion rate based on least squares support vector machine (LS-SVM) is constructed, in which...
Multi-layer perceptrons (MLP) have been employed to solve a variety of problems. The practical applications of MLP however suffer from different drawbacks such as local minima and over-fitting, such that good generalization may not be obtained. Least squares support vector machines (LS-SVM), a novel type of machine learning technique based on statistical learning theory, can be used for regression...
Particulate matter (PM) is a mixture of solid and liquid particles which remains suspended in the air. It affects on human health. Analysis PM in the air is very important based on the monitor measure data. At the same time, it is need to forecast PM. A method is proposed to predict the states of chaos based on the algorithm of LS-SVM (least square support vectors machine) in this study. Our approach...
Nitrogen oxide (NOx) is one of main pollutants emitted from coal fired power plants and is a significant pollutant source in the environment. Therefore, the monitoring or prediction of NOx emissions is an indispensable process in coal-fired power plant so as to control NOx emissions. In this paper, NOx emissions modeling for real-time operation and control of a 300MWe coal-fired power generation plant...
High exhaust gas temperature of boiler would seriously affect the boiler efficiency. Due to the large thermal capacity and thermal parameters' inertia in supercritical boiler, it was important to control accurately the exhaust gas temperature in the process of operation. The paper applied the Least Square Support Vector Machine (LSSVM) to build the studying model of exhaust gas temperature through...
Solar radiation knowledge is important for the solar energy conversion and utilization. In this work, least squares-support vector machine (LS-SVM) algorithms were applied to estimate the yearly and monthly average daily global solar radiation in China using the ordinary meteorological data and geographic parameters. The monthly climatic data from 101 radiation measurement stations were divided into...
Atmospheric corrosion has caused more and more losses and costs these years, so the world begin to pay much attention to this problem. In this paper, we mainly discuss the feature selection of a small subset of several important environmental factors from many relevant ones. With our experimental data with very small sample size, a model of corrosion rate is built. After specialized data preprocessing,...
In the pulverizing system for an alumina sintering processes, the hot air temperature to dry the coal powder using the remaining heat for cooling clinker is low and varies frequently. This can easily causes either the coal powder over coarser or the decrease of the mill output. In this paper, an intelligent setting method for mill load is proposed and presented, which consists of an intelligent pre-setting...
Hard landing event affect the flight safety seriously. In this paper, a decision support system that classifiers the hard landing signals of the civil aircraft to two classes (normal and abnormal) is presented to support fault diagnosis. As our previous paper where ANN is used as a classifier for event detection from measured hard landing signals. In this paper, our aim is to develop our previous...
Aircraft economic classification has played a fundamental role in field of civil aviation. Aiming at encourage the sustainable development of the air transport industry, the model of aircraft economic classification is set up based on the theory of wavelet recursive least square support vector machine (WRLS-SVM) according to the principle of ICAO, which named as ldquouser paid for by himselfrdquo...
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