查询词典 local minimum

The quasi-phsical method makes the original problem an optimization problem in mathematics. There is often the possibility of going to a local minimum of object function when solving the optimization problem mathematically.

所谓拟物就是主动地向自然界学习解决问题的方法，即寻找与原始数学问题等价的物理世界并观察这个世界中物质运动的生动形象，然后从中得出启发并逐步形式化为算法以求解问题。

This paper proposes a learning algorithm of solving the local minimum problem and the un-learnable problem for the Hopfield neural networks.

本文针对Hopfield神经网络所存在的极小值问题及缺乏学习能力的问题，提出了一种学习算法。

In the algorithm, radial-basis function neural network was utilized as forward model, and genetic algorithm was used to solve the optimization problem in the inverse problem, which can avoid the local minimum solution possibly encountered in the iterative inverse algorithm based on gradient descent and consequently achieve the global optimized solution of the inverse problem.

在该算法中，径向基函数神经网络用作前向模型，遗传算法用于求解逆问题中的优化问题，其优点是能够避免基于梯度下降法的迭代逆算法中可能遇到的局部最小问题，并能得到逆问题的全局最优解。

Aiming at the difficulties of invalid solution and local minimum problems when traveling salesman problemis studied using Hopfield artificial neural network.

针对Hopfield神经网络在求解旅行商问题时出现的无效解和局部极小值问题，分析和比较两种改进的求解方法，首先从理论上证明算法的有效性，然后对两种算法分别进行计算机仿真，探讨网络收敛于全局有效解的途径。

The local minimum relative distances and the corresponding times, as well as the time when one space object enters and exits in the ellipsoidal region of another one are determined by solving the roots of the polynomials.

由A-N算法提出的准则不能直接计算插值时间步长并可能导致丢根，对此根据多项式插值误差理论提出了一种自适应的插值时间步长选取方法。

Aiming at the disadvantage of conventional BP neural network, such as selecting parameter values by the empirical method, slow convergence speed and easy trap into local minimum points, this paper designs an improved BP neural network system. In order to improve the network convergence rate and reduce the training error, this paper optimizes the initial connecting weight value of neural network by the use of ant colony algorithm and trains artificial neural network by Levenberg-Marquardt algorithm.

针对常规BP神经网络参数的经验式取值方法以及收敛速度慢，容易陷入局部最小点等缺陷，设计了一种改进的神经网络系统，利用蚁群算法优化神经网络连接权初值，并采用LM算法对人工神经网络进行训练，提高了网络的收敛速度，降低了训练误差。

Because of the MA noise model part, the criterion function for ARMAX model identification is not always unimodal and an optimization based algorithm has a potential risk to be stuck at a local minimum.

在 ARMAX模型的辨识中，由于滑动平均噪音模型部分的存在，用以估计 ARMAX模型参数的误差函数不再是单峰的，因而常用的基于最优化的估计算法有被陷入局部最小点的危险。

There are some disadvantages in BP algorithm, such as low rate of convergence, easily falling into local minimum point and weak global search capability. In order to settle these problems, a genetic algorithm was used to train BP neural network to replace classical learning algorithms. An evolutionary neural network learning algorithm was founded.

针对BP算法存在收敛速度慢、容易陷入局部极小值及全局搜索能力弱等缺陷，采用遗传算法训练BP神经网络，取代了一些传统的学习算法，设计了基于进化神经网络的学习算法。

BP neural network based on adaptive UKF is introduced in this paper for the standard BP neural network has slow converges, local minimum value and weak generalization ability.

针对BP神经网络收敛速度慢、容易陷入局部极小值点和泛化能力差等问题，基于自适应Kalman滤波理论，提出一种自适应非线性滤波训练BP神经网络的方法。

Focusing on some disadvantages in standard BP algorithm, such as low convergence rate, easily falling into local minimum point and weak global search capability, Genetic algorithm is used to optimal the connection weight of BP Algorithm in this paper, and construct a GA-BP algorithm of evolutionary neural network, and the algorithm is applied to the control of BLDCM speed adjusting system.

针对标准BP算法存在全局搜索能力弱和易陷入局部极小点等缺点，本文将遗传算法与BP神经网络相结合，构造了一种新的进化神经网络GA-BP算法，并将该算法应用于无刷直流电机调速系统的控制，仿真结果表明，与传统的PI控制系统相比，该算法得出的电机控制曲线几乎无超调，与基于BP算法的速度控制系统相比较，具有收敛速度快、不易陷入局部极小的优点。

I didn't watch TV last night, because it .

昨晚我没有看电视，因为电视机坏了。

Since this year, in a lot of villages of Beijing, TV of elevator liquid crystal was removed.

今年以来，在北京的很多小区里，电梯液晶电视被撤了下来。