切曲奇饼的时候你试图采取黄金分割法。
介绍了黄金分割法在制冷与采暖中的部分应用实例。
Research on filtration of extraction technics of Salvia miltiorrhiza Bge. using golden section method;
在复杂矿井通风网络优化计算中，发现了黄金分割法的越界现象。
In the optimization of a mine ventilation network, the boundary overstepping took place in Golden Section Search.
实验初步验证了“黄金分割法”确定运动强度的可行性和可操作性。
The experiment primary verify the feasibility and reliability of using "Golden Section" to confirm fitting load.
用黄金分割法编制了曲柄滑块机构的优化设计程序，可以解决六类优化设计问题。
By golden section method the program on optimal design of the crank and slider mechanisms is worked out.
本文提出了一种改进的BP算法，该算法基于黄金分割法自适应调整网络学习速率。
This paper presents an improved BP algorithm, which can adapt learning rate using gold-segmentation.
针对非线性系统的控制问题，提出了一种采用黄金分割法的神经网络预测控制算法。
For the control of nonlinear system, a neural network predictive control strategy based on Golden Section Algorithm is presented.
应用黄金分割法和元素交替极小化法对扩展的卡尔曼滤波初值条件进行搜索并获得优化解。
Initial value conditions on Expanded-Kalman-Filter are searched by Gald-Cutting and Component-Minimum methods, and then optimized.
介绍一种采用最优化方法—黄金分割法（0．618法）求解传感器最佳拟合直线的新方法。
This paper gives a new method evaluting the optimum fitting straight of sensors-the golden cut method(0.618 method).
在分析了样条函数插值基础上，提出最短二次样条插值问题，并提出用黄金分割法解决该问题。
Based on analysis of quadratic spline interpolation, the shortest quadratic spline interpolation is discussed. Furthermore, golden section method is put forward to solve this problem.
提出了一种基于三层BP网络的柴油机故障诊断模型，给出了一种基于黄金分割法的变步长学习算法。
A diesel engine fault diagnosis model based on three-layer BP network is put forward, an step-changing learning algorithm based on gold-segmentation is given.
通过MATLAB工程计算软件，采用步长法、二分法、迭代法和黄金分割法等多种方法，求解了二元理想体系的泡露点同题。
The bubble and due points for binary ideal system is solved with a few mathematical methods in MATLAB which is a powerful mathematical software .
该算法以神经网络作为预测模型，以黄金分割法用于优化控制器，其中以系统输入的约束条件作为黄金分割法的动态搜索区间。
The neural network is used as predictive model. Golden Section is used in the optimization of controller. The variable searching region is set by the constraints of system inputs.
该算法以神经网络作为预测模型，以黄金分割法用于优化控制器，其中以系统输入的约束条件作为黄金分割法的动态搜索区间。
The neural network is used as predictive model. Golden Section is used in the optimization of controller. The variable searching region is set by the constraints of system inputs.
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