查询词典 neural network

Based on the analysis of current situation of urban traffic signal control, a method of single intersection signal control was presented based on fuzzy neural network control. Density of vehicle flow of current and next phase was determined by detecting the queue length of the current and next phase, so that it was further determined whether the phase should be changed or not.

在分析城市交通信号控制研究现状的基础上，提出一种基于神经网络模糊控制的单路口交通信号灯控制方法，通过检测当前相位的排队长度和下一相位的排队长度得出当前相位以及下一相位的车流密度，进而判断是否进行相位变换。

The determination of the best direction of step length vector and the adaptive adjustment of training rate for BP wavelet neural network are discussed.

讨论了BP小波神经网络在训练过程中减小误差函数时最优方向的确定和自适应调整学习率的方法。

Decoupling control ; relative degree ; Lie derivative ; decoupling matrix ; neural network

解耦控制；相对阶；李导数；解耦矩阵；神经网络

In experiment, Gaussian Maximum Likelihood Classification and Radial Basis Function neural network are used for comparison.

支持向量机」可选用不同核函数，而且会因核函数选用的不同，而对分类成果造成差异。

An algorithm based on the square-root unscented Kalman filter is proposed for weight estimation of the neural network, which can overcome the BP algorithm's drawbacks of slow learning speed, high computational complexity and the likeliness to make the study fall into the local minimum points.

提出一种利用平方根无轨迹卡尔曼滤波进行神经网络权值估计的算法，该算法可以克服BP算法存在的学习速率缓慢、计算量大、容易使学习陷入局部极小等缺点以Mackey-Crass混沌时间序列作为神经网络输入，运用SR-UKF算法、UKF算法、BP算法仿真神经网络。

To such a situation, this text has put forward and fitted the reliability problem of solving structure system of method of the state function of limit through the artificial neural network.

针对这样的情况，本文提出了通过人工神经网络拟合极限状态函数的方法来解决结构系统的可靠性问题。

Artificial intelligence; natural language processing; voice conversion; RBF neural network; genetic algorithm; line spectrum frequency

关键字］人工智能；自然语言处理；声音转换； RBF神经网络；遗传算法；线谱频

Radial Basis Function neural network was performed through linear combination of nonlinear basis function.

径向基函数神经网络通过非线性基函数的线性组合执行。

A SCNN approach is applied to solve linear and eigenvalue problem of the model. The scale of training set of the neural network in this approach is found only relates to the dimension of element stiffness matrix.

研究并提出了采用SCNN算法用于该问题的线性和特征值求解，且该算法中神经网络训练集的规模仅与单刚的维数相关。

And the reasonable proposal for the construction the region electrical power system was put forwardThe power load forecast is the basis of the power system planning.With the actual planning of regional development,uses a scientific and effective load forecasting methods forecast plans the local load electric quantity,is an important work to the regional power system planning.This dissertation uses the BP algorithm, proposed a double hidden layer structure artificial neural network to the forecast ultra-short-term power system load.After the simulation with the actual data,the method which this dissertation proposed compared to the traditional linear extrapolation Prediction method average absolute percent error of 2.5 percentage points,ten minute load forecasts achieve the average absolute percentage error are smaller than 2.5%accuracy.

本文利用人工神经网络BP算法，提出了一种双隐层结构的电力系统超短期负荷预测方法，经过对实际数据的仿真实验，本文提出的神经网络超短期负荷预测方法比传统的线性外推法预测平均绝对百分误差降低2.5个百分点，十分钟负荷预测达到平均绝对百分误差小于2.5%的精度。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。