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How to operate a BFG/coal co-firing boiler in high efficiency is challenging for a gas/solid multi-fuel combustion system. Taking operation data from a real boiler, this study proposes an operation optimization strategy of BFG/coal co-firing boiler based on deep learning. Firstly, the thermal efficiency model is constructed based on deep learning with all the actual sampling data, which outperform...
The thematic information extraction has been a difficult problem in high-resolution remote sensing application. Principal component analysis (PCA) is able to extract data's independent features on the basis of the second-order statistics, the variational Bayesian independent component analysis (VBICA) not only overcome the inconsistency between the standard ICA model and remote sensing image but also...
Put Forward the Proposal that for improving our Country Farmer education need Establish Reasonable Moving Mechanism. Virtual Training Platform for Professional Farmer will be the Subject for Farmer Education. Community can Create a Fund or other Ways to Provide Farmer with Training, such Training can Service New Socialist Countryside Construction. From the function and principle analysis product,...
This is a article of research which bases on the classical granular computing and the Association Rules, focus on the association rules and decision-making rules of the information system. Firstly, defines a association-rule characteristic Information Granule, which can be treated as a sub-definition of the Information Granule, and a association-rule characteristic Information Granularity matirx is...
The problem of model selection for support vector machines using the RBF kernels is considered. We introduce a geometric view on maximizing kernel polarization, which intuitively shows why we choose kernel polarization as the criterion for kernel selection. After that we propose a gradient-based method for learning the width parameter of RBF kernels. This method is based on the possibility of computing...
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