查询词典 neural network

Improtant reasons are that fuzzy logic is not differentiable and the effective neural network needs differentiability.

其根本的原因是普通模糊逻辑是不可微的，而最有效的神经网络却要求可微性。

The existence,uniqueness and globally exponential stability of the equilibrium point of a dynamic neural network with distributed delay s were studied without assumption of boundedness and differentiability of activation functions.

在没有假定激励函数有界、可微的情况下，研究包含分布时滞的动态神经网络平衡点的存在性、唯一性和全局指数稳定性。

Among used machine learning methods, the gradient descent method is widely used to train various classifiers, such as Back-propagation neural network and linear text classifier. However, the gradient descent method is easily trapped into a local minimum and slowly converges. Thus, this study presents a gradient forecasting search method based on prediction methods to enhance the performance of the gradient descent method in order to develop a more efficient and precise machine learning method for Web mining.However, a prediction method with few sample data items and precise forecasting ability is a key issue to the gradient forecasting search method. Applying statistic-based prediction methods to implement GFSM is unsuitable because they require a large number of data items to model a prediction model. In the contrast with statistic-based prediction methods, GM(1,1) grey prediction model does not need a large number of data items to build a prediction model, and it has low computational load. However, the original GM(1,1) grey prediction model uses a mathematical hypothesis and approximation to transform a continuous differential equation into a discrete difference equation in order to model a forecasting model.

其中梯度法是一个最常被使用来实现机器学习的方法之一，然而梯度法具有学习速度慢以及容易陷入局部最佳解的缺点，因此，本研究提出一个梯度预测搜寻法则(gradient forecasting search method， GFSM)来改善传统梯度法的缺点，用来提升一些以梯度学习法则为基础的分类器在资讯探勘上的效率与正确性；而一个所需资料量少、计算复杂度低且精确的预测模型是梯度预测搜寻法能否有效进行最佳解搜寻之关键因素，传统统计为基础之预测方法的缺点是需要较大量的数据进行预测，因此计算复杂度高，灰色预测模型具有建模资料少且计算复杂度低等优点，然而灰色预测理论以连续之微分方程式为基础，并且透过一些数学上的假设与近似，将连续之微分方程式转换成离散之差分方程式来对离散型资料进行建模及预测，这样的作法不尽合理，且缺乏数学理论上的完备性，因为在转换过程中已经造成建模上的误差，且建模过程仅考虑相邻的两个资料点关系，无法正确反应数列未来的变化趋势。

Due to the present status of differential game guidance law,a neural network is introduced into DGGL in this paper.

根据微分对策制导律目前面临的困境，本文尝试将神经网络引入微分对策制导律。

Guidance law ; Differential game ; Neural network ; BP model.

制导；微分对策；网络；模型

Based on the theories of the first two chapters, chapter 5 introduces the theoretical foundation and method of the software design of the license plate recognition system in detail. In this system, a license plate is fixed in a position and cut apart by verge examination based on the differential operator and threshold algorithm. Then outline method and projection method are used as methods of characteristic extracting, lastly neural network is used as a method to recognition the single character.

第五章是在前两章的理论基础上，详细介绍了车牌识别系统软件设计的实现方法和实验结果，应用图像分割的理论对车牌进行边缘检测和提取，利用轮廓和投影的方法提取字符的特征，最后用神经网络的方法对所得字符进行识别。

Through research on targets of F 18 aeroplane and the space ship, the advantages of technique of neural network compared with tranditional digit circuit method are proved.

通过对F－18飞机和返回式宇宙飞船两类目标图像进行特征提取、粗编码、训练和分类检测，证明了人工神经网络应用在引信目标成像的识别上相对传统的数字方法具有极大的潜力和优越性。

The foundations of artificial neural network, adaptive noise canceling technology and digital signal processor are introduced in this paper.

本文对人工神经网络、自适应噪声抵消技术和数字信号处理器的基本知识也进行了介绍。

The neural network model takes into account not only the dilatancy and contraction of soil, but also the effect of the stress paths.

我们建立的神经网络模型不仅可以考虑土的剪胀、剪缩，而且可以考虑应力路径的作用。

This article adopts error back propagation of neural network which can quickly and exactly synthesize and analyze data from actual environment to make so accurate conclusion that helps to control the compressor, wind engine and electronic dilatometer with frequency conversion to control intelligently.

采用了神经网络的误差反传算法，可以快速、准确的对从实际环境中获得的数据进行综合、分析，得出正确的结论，从而通过控制单元调节压缩机、风机和电子膨胀阀，使其根据现状迅速地做出反应，达到智能控制的效果，具有先进性、经济性、和实用性。

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。