查询词典 neural network

Characteristics of the Internet traffic data flow are studied based on the chaos theory. A phase space that is isometric with the network dynamic system is reconstructed by using the single variable time series of a network flow. Some parameters, such as the correlative dimension and the Lyapunov exponent are calculated,and the chaos characteristic is proved to exist in Internet traffic data flows. A neural network model is constructed based on radial basis function to forecast actual Internet traffic data flow.

摘 要：应用混沌理论，分析了网络流量，用单变量的网络流量时间序列重构与网络动力系统等距同构的相空间，进而计算了实际网络的关维数和Lyapunov指数，并证实了网络流量存在混沌特性；据此建立了基于径向基函数神经网络的模型，并对实际网络数据流进行了预测。

An approach of Radial Basis Function Neural Network optimization based on support vector machine was proposed to solve the randomness of the network structure and the unstableness of the network's performance.

为了解决径向基网络结构设计的随机性，进一步优化RBF网络性能，提出一种基于支持向量机的径向基网络结构优化方法。

Expatiated the principle, construction, mechanism, use of the nerve network completely and in financial credit risk appliedly the method of the adoption and realize ,we have ProPosed the difficult problems in finanee business and given a method to solve those Problems with neural network models ,And proceeded to the estimate method of the nerve network the system describe.

探讨了金融和经济中存在的信息处理的难点，并给出了应用神经网络技术解决问题的方法，且对神经网络的预测方法进行了系统的描述。

For this reason, a constraint satisfaction neural network based on the logical analytic theory of NNs is presented,which is composed of a general need network named a basic network and a coned system which has the adaptability to cope with complex problems.

CSNN体现了生物神经系统中的突触的控制原理，它由一个基本神经网和一个控制系统组成；基本网的作用是提供必要的约束，控制系统的作用不但能使约束成为自适应的，而且依据具体问题能够动态地、自动地删除基本解中的矛盾。

The design of transplanter for rice growing in cupulate tray is the critical link in rice growing in cupulate tray technology,the design method is not mature,for exploring a new design method,having discussed neural network s serviceability in agriculture machinery mechanism design with the theoretical basis of self-organizing feature mapand the back-propagation network,the integrated SOM-BP nerve network model is applied in the field of transplanter s critical mechanism design for rice growing,al...

水稻钵育栽植机的设计是实现水稻钵育栽培技术的关键环节，区别于传统的水稻栽植机其关键部件的设计方法还不成熟，在理论研究方面还不完善。为探索新的设计方法，论述了神经网络算法对农业机械设计的适用性，以自组织特征映射网络SOM 和误差反向传播网络BP为理论基础，将SOM-BP集成神经网络模型应用于水稻钵育栽植机关键部件设计领域，建立神经网络模型，通过集成网络训练，得到设计结果。验证了SOM-BP神经网络在农业机械机设计中的正确性和精确性。

To assist the signature specialists, the authentication system for off-line Chinese signatures was developed based on a new Integrated Neural Network, which was composed of the modules, namely Feature Distributed Network, Neutral Networks Classifier and Decision Fusional Network.

离线手写签名鉴别是一种基于生物特征的身份识别技术，利用集成神经网络对手写签名进行自动鉴别。该集成神经网络由特征分配网络、神经网络认证主体和决策融合识别网络三部分构成。

To assist the signature specialists, the authentication system for offline Chinese signatures was developed based on a new Integrated Neural Network, which was composed of the modules, namely Feature Distributed Network, Neutral Networks Classifier and Decision Fusional Network.

离线手写签名鉴别是一种基于生物特征的身份识别技术，利用集成神经网络对手写签名进行自动鉴别。该集成神经网络由特征分配网络、神经网络认证主体和决策融合识别网络三部分构成。

To put up founding and test experiments in these two ways separately, the first model use fixed training data to train the network and it constringed at the ninety circles, it's test identifying rate is eighty eight percent;the second model use the same fixed training data to train the network and it constringed at the sixty circles, it's test identifying rate is ninety nine percento Thus shows that the model with the switched character data is more better in identifying rate and it' s training time is shorter than the model used the character data directly,, Use BP Neural Network to forecast the Medicine Production quality is a better method..

结果表明，经数据变换后的建模方法在识别准确率和训练时间方面比未进行变换的建模方式具有更好的效果。应用BP网络进行制药业生产质量预测是一种比较好的方法。

In chapter 6 the training and testing process of Bp network and SOFM network using 100 fabric samples, and the assessed results of pilling grade by neural network are presented.

第六章介绍了用100个起球织物试样对Bp网络和自组织神经网络进行训练和测试的过程以及网络的评定结果。

In allusion to weak point of traditional PID control can't effectively tracking parametric variation of control system ,utilize neural network have predominance that self-study、self-organization、associative memory、concurrent processing and can get satisfactory result in complex control system on the basis of double closed loop,advance apply adaptive linear element network—Adaline network, which has self-learn and self-adjust ability.

在双闭环控制的基础上，针对经典PID调节器不能有效跟踪控制系统参数变化过程这一弱点，利用神经网络具有自学习、自组织、联想记忆和并行处理等功能和对于复杂系统控制可以达到满意效果的优势，提出了采用具有自学习和自适应能力的单神经元网络——Adaline网络，来构成一种神经网络自校正控制器。

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。