optimal-simulation model 优化模拟模型
Simulation results show that the optimal selection approach based on PSO is available and the PSO-SVR model has superior learning accuracy and generalization performance.
仿真结果表明：该P SO优化SVR参数方法可行、有效，由此得到的SVR模型具有更好的学习精度和推广能力。
Optimal estimates of the model parameters were obtained by minimizing the difference between model simulation and experimentally measured drug release kinetics.
对模型参数的最佳评价通过最小化模型模拟和实验测定间的药物释放动力学差别来获得。
The simulation solution of the model is applied to optimal design of groundwater regime observation network.
运用该模型的模拟解，进行地下水动态观测网优化设计。
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