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We established an experimental region located at Wang Ye Dian forest farm in Chifeng City, Inner Mongolia, China. Within this region, the catastrophe theory model applied for 6 common species single wood volume measurement and calculation to establish a growth model for trees. The experiment was carried out through the actual measurement of the tree height (H), DBH (D), volume (V), diameter (D0) as...
Acceleration and deceleration of the AS/RS machine in automated storage and retrieval systems are considered in this paper instead of uniform speed, and there are curve channels in the warehouse. Based on the above hypothesis, the time function and distance function are studied in this paper. The distribution function of the distance and time is given. On this basis, the expected travel time of the...
Eutrophic source water in Meiliang Bay, Taihu Lake was treated by the combined ecological floating bed (CEFB) technology, and the results showed it was an effective method for improving water quality that the average removal of TN and TP was 52.7% and 54.5% respectively under the water exchange period of 7 days. According to the Logistic growth model equation, the growth parameter of Kongxincai and...
Microbially assisted recovery of copper from low-grade chalcopyrite has been reported to be a very difficult process, conventional hydrometallurgical methods were limited by many parameters. This study focus on the design and the training of a Multi-Layer Perceptron classifier for the optimized preparation conditions for bioleaching of chalcopyrite. The proposed approach uses the heuristic Backpropagation...
Designing an all-electric ship (AES) requires testing of the interaction between hundreds of interconnected power electronic subsystems built by different manufacturers. Such integration tests require large analog test benches or the use of actual equipment during system commissioning. Fully digital simulators can also be used to perform Hardware-in-the-Loop (HIL) integration tests to evaluate the...
GM model is widely applied in many fields, in this paper, a refined GM(l,l)-improved genetic algorithm (GM(1,1)- IGA) is put forward to solve short-term load forecasting (STLF) problems in power system. Traditional GM(1,1) forecasting model is not accurate and the value of parameter a is constant, while the proposed algorithm could overcome these disadvantages. GM(1,1)-IGA established a function Z(c)...
A mathematical model known as grey model GM(1,1) has been employed successfully in the forecasting of power load system. Because traditional GM (1, 1) forecasting model is not accurate and the value of parameter alpha is constant, so this paper put forward a improved genetic algorithm - GM (1, 1) (IGA-GM (1, 1)), the proposed algorithm were used to solve the problem of short-term load forecasting...
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