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Based on the previous study and discussion, the coincidence degree theory and continuation theorem are applied to solve the existence of periodic solution to the two-dimensional time-varying delay Cohen-Grossberg in this paper. The study on two-dimension enables us to thick of a complete and clear pattern stored in memory from an incomplete or fuzzy pattern, and hence has a wide and bright application...
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...
The application of the neural network in the structure damage identification is studied using a combination of theoretical and experimental methods. A multi-layer neural network models based on the BP algorithm is designed for the damage identification of existing model structure. The model is trained with the data from an engineering beam to filter different transfer function, train function and...
Currently Long QT Syndrome (LQTS) is diagnosed by using the Long QT Syndrome “diagnostic score”. Calculation of the score is done by assigning different points to various criteria. The answers to the criteria are often hard to obtain as they require lengthy periods of cardiac observations. And even after the scores are obtain, only a percentage of certainty is obtained. Diagnosis of LQTS is often...
Presently, China coal mine enterprises are under merger and reorganization great environment. These enterprises merger and acquisition (M&A) process efficiency predictions lack theoretical support. The paper constructed coal enterprises M&A efficiency evaluation system, built the M&A efficiency prediction model based on support vector machine (SVM). The paper investigated the data in 2004-2008...
Presently, China coal mine safety situation is grim. One of important reasons is inadequacy of the safety investment. Safety investment prediction can provide the decision basis for the effective control and guidance of safety investment. The paper analyzed the impact factors of the coal mine safety investment, built the prediction model of coal mine safety investment based on wavelet neural network...
Mine work face gas emission quantity is an important mine design basis, which also has important practical significance for guide mine design, ventilation and safety production. Mine gas emission quantity and work face multi factors have complex non-linear relationship. The paper built the work face gas emission prediction support vector machine (SVM) model. Based on data statistic of a mine work...
Presently, China’s coal enterprises are in a merger and acquisition (M&A) phase environment. The coal enterprises M&A risk prediction research is less, and lacks corresponding theory support. The paper built the coal enterprises M&A risk evaluation system, constructed the risk prediction model based on support vector machine (SVM), and collected related 13 coal enterprises data during...
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