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Lithium-ion batteries play critical roles in many electronic devices. It is necessary to develop a reliable and accurate remaining useful life (RUL) prediction approach to provide timely maintenance or replacement of battery systems. A fusion RUL prediction approach based on Deep Belief Network (DBN) and Relevance Vector Machine (RVM) is proposed in this paper. In the fusion prediction approach, DBN...
Self-Adaptation has gained wide attention in SOA (Service Oriented Architecture). Composite services adjust dynamically to the change of environment during execution through adaptation. Most existing performance analyzing methods on composite service neglect the distinguished feature of environment, which impedes their application in self-adaptive composite services. This paper proposes a stochastic...
Support vector regression optimized by genetic algorithm (G-SVR) is proposed to forecast tourism demand. Genetic algorithm (GA) is used to search for SVR's optimal parameters, and adopt the optimal parameters to construct the SVR models. This study examines the feasibility of SVR in tourism demand forecasting by comparing it with back-propagation neural networks (BPNN).The experimental results indicate...
Forecasting the tax gross exactly is significant to carry on the macroscopic regulation efficiently under the market economy. Conventional linear macroscopic economic model is very difficult to hold non-linear phenomena in economic system, thus the tax forecasting error will increase. Support vector machine (SVM) has been successfully employed to solve regression problem of nonlinearity and small...
This article utilizes near infrared reflectance spectroscopy (NIRS) technology to quantificationally analyze protein content of chocolate, using genetic support vector regression (GSVR) to build spectrum calibration model. GSVR first adopts genetic algorithm to select the efficiency wavelength regions, and then applies linear support vector regression (SVR) to establish a calibration model with the...
Given its importance, facility location has long attracted many research efforts from both the academic and industrial areas. However, due to the cost and privacy issues, researchers usually suffer from the lack of business information which is crucial for the decision makings. Recent years have witnessed the explosion of geographical information systems (GISs), and the spatial information provided...
In this paper we present the use of non-contact near infrared spectroscopy (NIRS) technology employing a diffuse reflection fiber optic probe for discrimination of chocolate varieties. 120 samples of 8 typical varieties of chocolate are selected randomly, and the samples are scanned in diffuse reflectance mode by a cooled InGaAs array spectrometer (950-1700 nm). Partial least squares (PLS) method...
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