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In order to determine the baseline contamination by polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) in different areas in China, prior to the construction of municipal solid waste incinerators (MSWIs), a total of 32 representative soil samples was collected near 16 incinerators and analyzed for their PCDD/F concentrations. The PCDD/F baseline concentrations in the...
Eco-hydrology regionalization plays an important role in releasing contradiction between water resources development and ecological environment protection. Based on the theory of self-organizing feature map (SOFM) artificial neural network, an eco-hydrology regionalization model is developed. In the model, several integrated indexes, which contain most original information, are extracted from a large...
Least squares support vector machine (LSSVM) has been used in soft sensor modeling in recent years. In developing a successful model based on LSSVM, the first important step is feature extraction. Principal components analysis (PCA) is a usual method for linear feature extraction and kernel PCA (KPCA) is a nonlinear PCA developed by using the kernel method. KPCA can efficiently extract the nonlinear...
Mooney-viscosity is the dominate quality index for synthetic rubber. Monitoring the Mooney-viscosity effectively and realizing automatic quality control of the production process is an urgent problem in the rubber industry. This paper proposes a soft sensor model based on PCA-LSSVM to predict the Mooney-viscosity of styrene butadiene rubber (SBR). First, major parameters affecting the Mooney-viscosity...
Software project development has always been associated with high failure rate. In this paper, we identify the key software risk factors responsible in achieving successful outcome and use a neural network approach to establish a model for minimizing the risks attributed to failed projects. Input of the model is software risk factors that were obtained through interview, and output of the model describes...
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