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To study the influence of coarse particle addition on solids distribution of circulating fluidized bed (CFB), some experiments has been done on a 0.25m×0.25m×6.07m square circulating fluidized bed in this paper. The axial pressure drop, local solids holdup and coarse particle fraction in the CFB system was measured and analyzed. Experimental results show that the pressure drop increases with the increasing...
A new method for global nonlinear aerodynamic model identification is presented. Aerodynamic model of aircraft is analyzed, and a simple and effective aerodynamic model is presented. The aerodynamic model of aircraft is then depicted in NARMAX (Nonlinear Auto Regressive Moving Average model with eXogenous inputs) form inside a Linear Regression framework. The items and coefficients of the aerodynamic...
A stand density index BP model was created with artificial neural network modeling technology, by taking the average of diameter at breast height as the input variable, and stand number density as the output variable, in Masson pine planted forest. Through training and optimum seeking, the idea model structure is 1:2:1, the fitting accuracy is 98.67%. As a comparison, a Reineke stand density index...
Analyzing the factors of system risk and non-system risk, the paper establishes comprehensive index system of venture capital. Using Unascertained theory, risk assessment suited venture capital is presented and a new risk-control model based on risk assessment is built. Finally, feasibility of this evaluation method is proved by a practical example.
The unmanned combat aerial vehicle (UCAV) is a intelligent weapon. Based on artificial brain theory, its autonomous control system was divided into three layers which are perception fusion layer, cognition and decision layer, and behavior control layer. In perception fusion layer, information was transmitted from multi-sensors system to relative system and was fused ultimately. In cognition and decision...
An artificial neural network model forecasting diameter distribution of stands was created by using artificial neural network modeling technology, in Masson pine planted forest. Through training and optimum seeking, the idea model was created, in which the model structure is 3:6:6:1, the training error is 0.000281, and the total fitting accuracy is 98%. Concretely, the mean frequency fitting accuracy...
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