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Safety-production dispatching is a core of coal mine system. Traditional dispatching of coal mine is very rough and lack of theory guidance. Firstly, the paper studied the basic theory of Petri net and the principle of multilayer dispatching. According to the characteristic of coal mine safety-production, the paper gave the coal mine production dispatching model based on multilayer Petri net. In the...
Reinforcement learning is an algorithm without model which is learning what to do--how to map situations to actions-so as to maximize a numerical reward signal. Reinforcement learning provides an available method to the systems, which are very difficult to build up accurate models around complex environment. But now many practical problems demand a maximum reward with not much cost (expense). For...
The paper studied on gas prediction problem. According to traditional prediction methods on coal mine safety being offline without dynamic prediction function and the shortcomings in the traditional online learning with least squares support vector machine (LS-SVM), this paper gave an improved online prediction algorithm of LS-SVM. This algorithm was used in gas prediction of some coal mine. By comparing...
This paper studied on time series prediction, and proposes a new prediction algorithm of LS-SVM online learning against the shortcomings in the traditional online learning with least squares support vector machine. This algorithm was researched and used in coal mine gas prediction and had proved effective, compared with the actual data and other relative algorithms.
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