查询词典 neural process

Study on EDM process parameters selection based on neural network［J］.

基于神经网络的EDM工艺参数选择研究［J］。

Based on deeply-analyzing the characteristics of iron-making process, it is presented that gen-eralization and self-adaptation of the BF judgement systems are two important factors for maintaining the sta-bility and efficiency of neural network expert system.

在深入分析高炉冶炼特点的基础上，提出泛化特性和自适应特性是高炉炉况判断系统稳定有效运行的2个重要特性。

To improve the accuracy of condition prediction for thousand-meters scale cable-stayed bridge under the influences of indeterminate factors such as measurement noise and initial component error during the construction process, a condition prediction method based on evidence theory and grey-neural-network model was proposed.

为解决千米级斜拉桥在施工过程中由于观测噪声及初始构件误差等因素影响下的结构响应预测问题，提出了D-S证据理论与灰色神经网络结合的混合识别方法。

It was applied to model and predict the variables of the mycetozoan fed-batch process. The result has shown that the structure of this kind of neural network model is simple, explicable and the convergent speed is much quicker.

为此，结合模糊粗糙集和智能控制的理论，充分利用模糊粗糙集和神经网络两者的优点，提出了一种新型的网络—模糊粗糙神经网络实现对发酵过程的建模和状态估计。

This method simultaneously had the faculty that fuzzy theory could process uncertain or inaccurate information and the self-study capability of the neural network, which effectively enhanced the fault diagnosis's technical level.

该方法同时具备了模糊理论的处理不确定和不准确信息的能力和神经网络的自学习能力，有效地提高故障诊断的技术水平。

The experimental data were trained by BP neural network, and the results were curve fitted to set up a fitting function which was used in the genetic algorithm process to reach the optimum.

首先利用BP神经网络来训练已有实验值，然后将训练后的神经网络作为知识源，通过曲线拟合与逼近求得设计变量与目标函数值的函数关系表达式，最后将这一函数表达式作为遗传算法的适应度函数进行遗传迭代寻找最优解。

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。

The goal is to simplify the neural-computing of biovision process modeled inthe Boundary Contour System of FACADE theory, and to extract subjective contour in.a new way. The procedure consists of DOG filtering, cooperative filtering,post-processing of cooperative cues and regrouping of endpoints, corresponding to theoriented edge filtering by simple cells, cooperative filtering by bipole cells and end-stopeffect formulated by hypercomplex cells in biovision system respectively. The last oneis an algorithm based on connection relation graph, which judges whether two keypoints should be connected according to their positions and orientations and thenconnect the key points that Should be connected to complete the subjective contour.

本文主要完成了以下工作：一是针对张量投票方法处理主观轮廓时出现的问题进行了改进，并依据矩阵的特征值摄动理论分析了该方法误差产生的原因以及迭代对其影响；二是用图像处理方法代替FACADE理论中复杂的细胞动力学方程，提出了一种基于视觉竞争合作机制的轮廓组织及缺口修复算法，该方法通过DOG滤波器组、合作滤波器组和张量投票等方法分别模拟视觉系统中的简单细胞有向滤波、双极细胞合作滤波和终端截断后端点重组等主观轮廓形成过程；三是提出了一种基于可连接关系图的算法解决轮廓组织及缺口修复问题，该方法在轮廓特征提取的基础上，根据关键点的位置和取向信息判断其可连接关系，进而连接具有可连接关系但没有实际连接的关键点，最终完成轮廓缺口的修复。

To address the defects of slow convergence and easy immergence in the partial minimum in the learning process of Back Propagation Neural Network CNN, a Levenberg-Marquardt algorithm was presented.

针对BP神经网络学习过程收鼓速度慢及易陷入局部极小值的缺陷，研究了levenberg-marquart算法。

Firstly, subtractive clustering algorithm is used to confirm the structure of fuzzy neural network. Secondly, combined fuzzy inference systems to process pattern recognition, its principle and studying algorithm are introduced in detail. Finally, the four kinds of fabric wrinkle feature parameters are imported to verify the true fabric.

首先利用减法聚类方法确定模糊神经网络的结构，再结合模糊推理系统进行模式识别，并详细介绍了其基本原理和学习算法，最后引入4种起皱特征参数对真实织物进行验证。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。