查询词典 neural network

BP neural network has the ability to process nonlinear and complex system problems, it can predicates, recognizes and fuzzy evaluates of the enterprise system be- havior.

BP神经网络具有处理非线性复杂系统问题的能力，可时企业系统行为进行预测、识别和模糊评价。

Keywords : AFSA;neural network;coupling regress model of projection pursuit;projection direction;threshold;Hermite polynomial

应用神经网络的投影寻踪耦合回归模型存在优化问题，学习过程中运用人工鱼群算法进行优化，进而获得最佳的投影方向、阈值和正交Hermite多项式系数。

A new heuristic approach is proposed for the automated optimization of neural network.

介绍了一种自动优化神经网络的新启迪方法。

Besides,the paper gave a brief introduction to other two econometric techniques,neural-network-based model and homogeneous Markov chain.

此外，本文还对神经网络模型和齐次马尔柯夫链两种计量方法在学校效率研究中的应用情况进行了介绍。

It is based on nonlinear homotopic BP neural network with nonlinear normalization method to identify the oil pumping model, and the genetic algorithm to optimize the downtime.

利用非线性规范化方法的非线性同伦BP神经网络对采油模型进行辨识，采用遗传算法优化停机时间。

Hot Wire Type Mass Air Flow Sensor ; Static Characteristics ; Neural Network ; Precision of Identification

热线式空气流量传感器；静态特性；神经网络；辨识精度

The paper introduces the principle of the thrust hydraulic system of telescopic shield tunneling machine,and build the modle of hydraulic system in AMESim environment,basis the fact to optimum design the relevant parametre,considering the system s time-change,non-linear and the affect of complex operating contion,adopting the control alforithm of RBF Neural Network Self-tuning PID.

该文介绍了双护盾掘进机推进系统的工作原理，在AMESim环境下建立了液压系统的模型，根据实际情况对相关参数进行了优化设计，考虑到系统的时变非线性以及复杂工况的影响，采用了基于RBF神经网络自整定PID控制算法，在 MATLAB下编写了相应的S函数，通过AMESim/Sinulink与AMESim进行联合仿真分析。

In this paper, we use Extended Cabor Function of simple cells as the basic functional units to have successfully set up a mathematical model of neural network, with the properties of overlap-formed receptive fields and of comparative operation, explaining hyperacuity.

本文用简单细胞广义Gabor函数为基本功能单元，以Marr提出的计算理论为框架，建立了一个感受野重叠的，具有比较运算性质的、可解释超视锐度现象的神经网络数学模型。

Based on the priori knowledge of a point scattering - hyperbolic feature of subsurface objects in GPR B-Scan images, a method of ROI extraction with Neural Network is presented.

在分析了均匀介质中的目标回波特征一双曲线形态的产生机理和基本特征的基础上，提出了一种利用神经网络进行ROI提取的方案，根据GPR数据解译的特点，本文设计了相应的B-Scan图像预处理方法和神经网络结构、训练及测试方法，使用塑料管及其他目标的B-Scan实测数据对神经网络进行训练与测试。

These models include logarithmic function, exponential function, hyperbolic function and system scientific models such as grey model, BP neural network, time series, kalman filter and so on. And ground settlement due to two box culvert pushing is simulated by Peck experiential formula.

3介绍了地下工程中常用的数据分析建模方法并给出应用实例，包括概率统计模型中的对数函数、指数函数、双曲函数，系统科学中的灰色系统、BP神经网络、时间序列、Kalman滤波等，利用Peck公式对双孔箱涵错距顶进引起的地表沉降进行了模拟。

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。