1) optimization of hidden neurons
隐层优化
2) hidden optimzation
隐含优化
3) implicit stochastic optimization
隐随机优化
1.
In order to get the optimum solution of the dispatching model by the implicit stochastic optimization method, a method combines the traditional least square method and the double variable method for decision-making for the linear dispatching function subjected to various constraints in hydropower station is presented.
对调度模型以隐随机优化为基本途径求解,采用两个决策变量,用传统最小二乘法及水能计算方法,寻求合理、有效的水电站优化调度规则。
4) Implied function optimization
隐函数优化
5) gradually imminent
分层优化
1.
A gradually imminent non-linear system predictive algorithm is introduced to resolve this difficult problem.
该文采用分层优化的非线性系统预测控制算法来解决这一难题,对系统硬件配置和参数做出了具体说明,并给出了仿真结果。
2.
The pH titration curve around the neutral region in steel factory dealing with waste acid water is extremely sensitive, and its non-linear logarithmic nature cannot be controlled with normal linear controller,A gradually imminent non-linear system predictive algorithm was used to resolve this problem.
本文采用分层优化的非线性系统预测控制算法来解决这一难题,对系统硬件配置和参数做出了具体说明,并给出了仿真结果。
6) two-level optimization
双层优化
1.
To avoid the above disadvantage,a two-level optimization algorithm was proposed according to the characters of the reactor network model based on continuous stirred-tank reactors(CSTR).
反应器网络综合问题一般都是复杂的非线性规划问题,在分析基于全混流反应器的反应器网络模型特点的基础上,提出了求解该模型的双层优化算法。
补充资料：层层加码
1.谓逐级增加任务和逐级提出各种要求等。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条