The result of experiment and simulation indicates the controlling method using ANN prediction model combined with static equation meets the requirement of controlling greenhouse environment.
仿真与实验结果表明，神经网络预测模型与静态方程相结合的控制方法满足温室环境温度控制需求。
The results show that in the simulation of non-linear system model, this framework for Bayesian predictive filter can implement the tracking of simple motion and the orientation prediction.
实验结果表明，在非线性系统模型的仿真中，贝叶斯预测滤波框架能够较好的实现对简单物体运动的跟踪和方位的预测。
Aims Accurate simulation of green area index is critical for reliable prediction of crop growth and yield using a crop growth model.
准确模拟绿色面积指数是作物生长模拟模型可靠预测作物生长和产量的关键。
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