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Accurately grasp the dynamics of soil moisture enable one to react accordingly to the crop water demand to a certain extent, hence forecasting soil moisture is very important in scheduling of irrigation and allocating water in irrigation area rationally and efficiently. Soil moisture is affected not only by previous time sequence of soil moisture, but also by weather factors. In this paper, a novel...
Based on the principle of mean reversion and RBF neural network, this dissertation designs an arbitrage system of Chinese precious metal futures market by means of C++. It proves that it is technically feasible to apply quantitative investment to domestic precious metal futures trading on the basis of the actual data obtained in the application of the quantitative arbitrage system in Shanghai Futures...
Annual Average Daily Traffic (AADT) and Vehicle Miles Traveled (VMT) of traffic network are very important data for the plan and decision making. How to estimate AADT and VMT on local area roads is a long-time existing problem due to lack of traffic monitor counts. This paper presents a novel approach to the community area AADT and VMT estimation by developing circuit network model and simulation...
An accurate demand forecasting model has academic and practical significance to supply chain management for China's retail industry. In this paper, a novel demand forecasting model named WFSSVM (Wrapper Feature Selection optimized SVM) is proposed. Genetic algorithm based wrapper feature selection method is firstly employed to analyze the sales data of a kind product (including various kinds of brand)...
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