混合编程在人工神经网络方面的处理应用

在分析VisualC 和Matlab各自特点的基础上,提出混合编程的几种方法,并分析对比各种方案的优缺点。然后提出了利用VisualC 与Matlab混合编程的方法实现人工神经网络的处理应用。该方法非常适合人工神经网络的处理应用,它能够充分利用Matlab工具箱的函数。最后运用了一个实例来说明该方法的优势,结果表明该方法是可行和有效的。     

虚拟波形发生器的设计

在阐述基于Visual Basic 6.0(中文版)的虚拟波形发生器的软件设计过程的基础上,完成了在计算机上模拟传统波形发生器的控制面板和主要功能。     

汇编语言在Visual C++中的应用

汇编语言开发的程序有着很高的执行效率,而Visual C 是应用广泛的高级语言开发工具。汇编语言在Vi-sual C 中的应用能够有效提高程序的效率。本文介绍了Visual C 中调用汇编语言的常用方法和进行混合编程的要点。     

图像处理在机器人焊缝识别中的应用

采用Visual C 6.0开发了焊缝图像采集及处理系统,对电荷耦合器件(CCD)摄像头获取的焊缝激光条图像进行特征提取,分别采用两套不同的识别方案对激光条图像进行处理,前者采用中值滤波-拉普拉斯锐化-Sobel边缘检测-中线提取;后者采用平滑滤波(平均模板)-自适应阈值分割-Krisch边缘检测-中线提取。通过实际中试验结果的对比发现,后者能更好的对激光条图像进行特征识别。     

粒子群优化算法的Visual C＋＋实现研究

简要介绍了粒子群优化算法的基本步骤,利用面向对象的编程思想抽象出算法中两个主要的类,在Visual C 的开发环境中对类的属性和函数进行了探讨分析,开发了算法的实现界面,通过一个实例验证了算法的有效性。     

Robust adaptive tracking with an additional plant identifier for a class of nonlinear systems

In this paper, we develop two new model reference adaptive control (MRAC) schemes for a class of nonlinear dynamic systems that is robust with respect to an uncertain state (output) dependent nonlinear perturbations and/or external disturbances with unknown bounds. The design is based on a controller parametrization with an adaptive integral action. Two types of adaptive controllers are considered—the state feedback controller with a plant parameter identifier, and the output feedback controller with a linear observer.     

游戏化教学软件视觉审美

结合心理学相关理论,从界面布局、色调、情景、音效4个方面分析影响游戏化教学软件视觉审美因素,探讨视觉审美艺术游戏化教学软件设计中的运用。     

基于模拟退火算法的机器人路径规划与研究

机器人技术作为20世纪自动控制领域的一项伟大成就已经取得了长足的发展,移动机器人也越来越多地应用到了各个行业中。移动机器人具有高度自规划、自组织和自适应能力,适合工作于复杂的非结构化环境中。本文以自主移动机器人为背景,着重对其关键的路径规划技术进行研究和探讨。     

Delay-dependent stability for uncertain cellular neural networks with discrete and distribute time-varying delays

In this paper, the problem of stability of uncertain cellular neural networks with discrete and distribute time-varying delays is considered. Based on the Lyapunov function method and convex optimization approach, a new delay-dependent stability criterion of the system is derived in terms of LMI (linear matrix inequality). In order to solve effectively the LMI as a convex optimization problem, the interior-point algorithm is utilized in this work. A numerical example is given to show the effectiveness of our results.     

基于VC的物流实验装置上位机控制平台设计

本文采用VisualC 设计了一个物流实验装置的上位机控制界面,实现了上位机同S7-200PLC通信和数据采集、数据查询和报表打印的功能,完成了组态软件等专业软件功能的同时节约了成本。     

Combination of modified BPNN algorithms and an efficient feature selection method for text categorization

This paper proposes new modified methods for back propagation neural networks and uses semantic feature space to improve categorization performance and efficiency. The standard back propagation neural network (BPNN) has the drawbacks of slow learning and getting trapped in local minima, leading to a network with poor performance and efficiency. In this paper, we propose two methods to modify the standard BPNN and adopt the semantic feature space (SFS) method to reduce the number of dimensions as well as construct latent semantics between terms. The experimental results show that the modified methods enhanced the performance of the standard BPNN and were more efficient than the standard BPNN. The SFS method cannot only greatly reduce the dimensionality, but also enhances performance and can therefore be used to further improve text categorization systems precisely and efficiently.     

基于VB的V80系列PLC与计算机的串行通信实现

PLC直接与现场控制层的检测仪器仪表设备连接,是底层控制网络的组成部分,是工厂自动化系统的基石,可编程控制器以其高可靠性,配置灵活和完善的功能,在工业控制系统中得到越来越广泛的应用。因此实现与计算机的通信对系统的优化运行有重要意义。本文以V80系列PLC为例,讨论用Visual Basic(VB)实现PLC与上位机的通讯。     

可视化数据挖掘技术在保险业CRM中的应用

本文首先介绍了可视化数据挖掘和关联规则的涵义,然后提出了关联规则挖掘的Apriori算法,最后根据此算法并结合一个保险公司的CRM实例设计编写了一个可视化数据挖掘系统,以实现挖掘结果的图形化显示,从而完成可视化数据挖掘技术在保险业客户关系管理中的应用。     

Dynamical behaviors of discrete-time fuzzy cellular neural networks with variable delays and impulses

In this paper, the discrete-time fuzzy cellular neural network with variable delays and impulses is considered. Based on M-matrix theory and analytic methods, several simple sufficient conditions checking the global exponential stability and the existence of periodic solutions are obtained for the neural networks. Moreover, the estimation for exponential convergence rate index is proposed. The obtained results show that the stability and periodic solutions still remain under certain impulsive perturbations for the neural network with stable equilibrium point and periodic solutions. Some examples with simulations are given to show the effectiveness of the obtained results.     

Delay-dependent exponential stability for a class of neural networks with time delays and reaction-diffusion terms

In this paper, the exponential stability of a class of delayed neural networks described by nonlinear delay differential equations of the neutral type has been studied. By constructing appropriate Lyapunov functional and using the linear matrix inequality (LMI) optimization approach, a series of sufficient criteria is obtained ensuring the existence, uniqueness and global exponential stability of an equilibrium point of such a kind of delayed neural networks. These conditions are dependent on the size of the time delay and the measure of the space, which is usually less conservative than delay-independent and space-independent ones. And, these networks are generalized without assuming the boundedness and differentiability of the activate functions. The proposed LMI condition can be checked easily by recently developed algorithms. The results are new and improve the earlier work. Examples are provided to demonstrate the effectiveness and applicability of the proposed criteria.     

Adaptive control of printing devices using fractional-order hold circuits adjusted through neural networks

A connectionist method for autotuning the free parameter of a fractional-order hold (FROH) circuit in order to improve the performance of the digitally controlled systems is proposed. Such a technique employs multilayer perceptrons to approximate the mapping between the sampling period/continuous-time parameters of the estimated plant and the optimal value of the FROH adjustable gain. In this way, adaptive discretization systems to improve the stability properties of the resulting discrete-time zeros are implemented. Simulation results are presented in order to illustrate the properties of the complete system applied to two actual digitally controlled printing devices (HP 7090A and low-cost computer printer).     

人工神经网络在经济控制中的应用

本文运用二次函数最优控制理论建立经济系统优化控制模型,以一个宏观经济模型为例,用神经网络建立的模型和控制器对所关心的经济变量进行控制,给出了仿真结果。     

A novel technique for optimal placement of piezoelectric actuators on smart structures

The problem of positioning of actuators and sensors on smart materials has been a point of interest in recent years. This is due to the fact that in many practical applications there are limitations in space, weight, etc. of the smart structures, which make the problem of positioning more complex. In addition, it is required that the actuators/sensors have the best possible performance. The development of smart structures technology in recent years has provided numerous opportunities for vibration control applications. The use of piezoelectric ceramics or polymers has shown great promise in the development of this technology. The employment of piezoelectric material as actuators in vibration control is beneficial because these actuators only excite the elastic modes of the structures without exciting the rigid-body modes. This is important since very often only elastic motions of the structures are needed to be controlled. The purpose of this paper is to introduce a novel approach developed for optimizing the location of piezoelectric actuators for vibration suppression of flexible structures. A flexible fin with bonded piezoelectric actuators is considered in this study. The frequency response function (FRF) of the system is then recorded and maximization of the FRF peaks is considered as the objective function of the optimization algorithm to find the optimal placement of the piezoelectric actuators on the smart fin. Three multi-layer perceptron neural networks are employed to perform surface fitting to the discrete data generated by the finite element method (FEM). Invasive weed optimization (IWO), a novel numerical stochastic optimization algorithm, is then employed to maximize the weighted summation of FRF peaks. Results indicate an accurate surface fitting for the FRF peak data and an optimal placement of the piezoelectric actuators for vibration suppression is achieved.     

输出反馈MIMO网络控制系统时滞独立稳定性分析

研究一种对象的输出信号通过网络反馈到单控制器,控制器的输出信号通过网络传输到执行器的多输入多输出控制系统。给出了该类网络控制系统的结构图,针对线性时不变的被控对象,建立了系统的综合数学模型,采用Lyapunov分析了其稳定性,推导出时滞独立的稳定条件。并通过数值算例验证了其可行性。     

Visual Basic环境下城市绿化图像效果应用

Visual Basic具有强大的图形图像处理功能,并广泛应用于图形设计、图像处理中.本文介绍了Visual Basic环境下城市绿化效果的展示.