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In order to investigate control method for indoor thermal comfort, the experimental environment of indoor thermal comfort is designed in this paper. Thermal comfort data are collected based on questionnaire means, ANN (artifical neural network) is trained using the data, and the ANN model trained can accurately forecast thermal comfort index. Relevant input parameters is conversely computed based...
This paper innovatively proposes a hybrid intelligent system combining fuzzy comprehensive assessment approach and artificial neural network (ANN) that predicts the safety performance of construction site for breaking through the limitations of conventional method. And also inducts the sensibility analysis to discriminate the importance of each index in the assessment index system. The effectiveness...
In this paper, a self-organizing ANN classifier is designed to estimate transient stability problem. This kind of classifier uses six indexes which are indexes of the integrated performance index method, so as to distinguish power system transient stability state into stable accident and unstable accident. It has better classified effect, and can reducing the number of accidents. It is also suitable...
Based on the annual report data between 1995 and 2005 of all listed companies (LCs), the 25 initial financial indexes, widely used by experts and researchers aboard and at home, was deduced to 14 effective evaluation indicators using factor analysis and principal component analysis (PCA). The 14 evaluation indicators, covering five aspects for comprehensive evaluation of competitiveness of LC, retain...
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