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A control strategy using Mutual Mapping Neural Network to compute the solution of the backward and forward kinematics was presented in this paper. MMNN was consisted of two NN and one modify function, one NN was used for forward kinematics calculation, and another for Jacobi matrix calculation, the modify function was formed based on Lyapunov function.

双向映射神经元网络主要由两个神经网络和一个修正函数构成,其中一个神经网络用来进行正运动学求解,另一个神经网络用来计算雅可比矩阵,修正算法是根据李雅普诺夫函数来计算的。

This dissertation deeply studied the theory of CMAC neural networks from learning convergence, generalization ability and the improving of the network model and algorithm, and studied the applications of CMAC neural networks in tank barbette control system combining the national defense research project"Control Algorithm Study of Tank Barbette System". These works are meaningful to enrich the architecture of CMAC theory and to improve the performance of tank gun control system.

本文着重从学习算法的收敛性、网络的泛化能力以及对算法和模型的改进等几个方面深入研究了CMAC神经网络理论,并结合国防95预研项目"坦克炮塔系统控制算法研究"对CMAC神经网络在坦克炮塔控制系统中的应用进行了研究,这些工作对于丰富CMAC神经网络的理论体系,提高坦克炮控系统的性能具有重要的意义。

the manual nn as a highly integrated chiasma subject. most of models about nn are adopting the bp network and the changed form at the practical appliance, which is also the hard core of forward network, incarnating the essential part of nn.

人工神经网络作为一门高度综合的交叉学科,在实际应用中绝大部分的神经网络模型是采用bp网络和它的变化形式,它也是前向网络的核心部分,体现了人工神经网络最精华的部分。

Dynamical behaviors such as periodic, quasi-periodic and chaotic waveforms are observed on oscilloscope. It is expected that the proposed chaotic sources and their circuit implementations are beneficial to the application of neural networks. 4 A template of Cellular Neural Network is derived aimed at solving second-order hyperbolic wave equations based on space discrete method, a novel alternating recursive algorithm implementation is given.

提出了采用复数神经网络进行FIR滤波器设计的方法,利用复数信号能够同时携带幅度和相位信息的特点,构造了相应的具有复数的状态、偏置输入、输出、网络联接权的复数神经网络,证明了算法的收敛性,给出了网络的电路实现图,这方面工作对于拓展神经网络算法的应用范围和寻求FIR滤波器的设计新方法是有益的。

RBF network-based ball mill expert system theory and basic structure are discussed, and the author proposes its knowledge representation, knowledge acquisition, self-adapting training and parallel inference rule.

在Matlab环境下,充分利用Matlab强大的数值计算功能实现了球磨机神经网络专家系统开放式和模块式编程,建立了RBF网络和BP网络各种不同条件的训练程序库、神经网络推理程序库、神经网络权值和阈值库等各类知识库和数据库,用户通过特别设计窗口进行咨询。

To sum up, main results of this study were listed as follows:(1) After analyzing the main factors affecting generalization function of neural network, and aiming at poor representativity of hydrologic time series samples, standardization method of transforming extreme was presented to deal with input sample of time series, which could make the input samples lie in the interpolation range of training samples even if they lie in the extension of training samples, so it improved generalization function of neural network and accelerates network convergence speed.

概括起来,本文取得的主要研究成果如下:(1)对影响神经网络泛化能力的主要原因进行了阐述,针对水文时间序列样本的代表性不好这一问题,提出了采用变最值的规范化方法处理时间序列输入样本,使神经网络的输入样本即使为训练样本的外延,规范化后也处于训练样本的内插范围,从而改善神经网络的泛化能力,并加快网络收敛速度。

According to the basic principles of neural networks and in combination with 35 examples of actual landslide projects, this paper establishes RBF and BP neural network models respectively. The comparative results of the two models show that RBF neural network model has higher accuracy and fewer errors and is more suitable for the stability evaluation of landslide. Therefore, this model is used to calculate the stability coefficients of Yellow Caoba ancient landslide and predict the stability of the landslide.

根据神经网络的基本原理,结合35个实际滑坡工程实例,分别采用RBF神经网络和BP神经网络建立滑坡稳定性评价模型,利用MATLAB编程求解,并对比了两种模型的计算结果,表明采用RBF网络模型计算出的结果精度高、误差小,更适合于对滑坡的稳定性评价;同时,运用RBF网络模型计算了黄草坝古滑坡的稳定性系数,对其稳定性进行了预测,以验证该方法的有效性。

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。

The main contents of the thesis include: the requirements analysis of neural computation to neurochip; the architecture of digital general-purpose neurochip; the design and implementation of neurochip hardware; the architectures of neurocomputer that can be built out of the neurochip; the neural network mapping algorithms; the user integrated developing environment with friendly interface; and the study of algorithms for neural network models.

本文的主要研究内容有:神经计算对神经芯片的需求分析;通用数字神经芯片体系结构;芯片硬件的设计与实现;基于神经芯片的神经机系统结构;神经网络映射算法;友好的用户开发环境;神经网络算法,等等。

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