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In chapter 4, basing theories and methods of scientific visualization, and artificial neural network BP algorithm, we integrate the Visual C++, OpenGL graphics library and Excel VBA technique to develop the program of artificial neural network and to make the BP algorithm visually, this program works can be divided into four parts: Using C language to develop program about BP algorithm; Using Visual C++, develop the GUI Interface, make input parameter visually; Using OpenGL graphic technique to display the training sample point in three dimension; at last using Excel DDE technique display the error graphic tables in Excel system In chapter 5, on the view of engineering application, we establish new method of surface reconstruction basing artificial neural network, develop interface program between module and commercial CAD/CAM system, meantime deeply discuss some key problems, for example, setting up the base plane, using the API technique, cutting and editing surface boundary, and also discuss the more compliant problem: how to intersect surface, at end we finish the work of translation from our surface reconstruction module to commercial CAD/CAM system, then make reverse engineering system basing artificial neural network more useful.

第四章基于科学计算可视化理论,依据人工神经网络BP算法理论模型,综合Visual C++,OpenGL图形库以及Excel VBA等多项软件开发技术,编制了人工神经网络程序,实现了BP算法的可视化映射。具体工作分为四部分:利用C语言实现人工神经网络BP算法;利用VisualC++的GUI技术开发图形用户界面,实现参数设置可视化;利用OpenGL图形技术进行三维映射,显示学习样本及训练样本点;利用微软电子表格DDE动态数据交换技术,在Excel上动态显示学习误差曲线图。第五章从工程应用的角度出发,提出了一种新的基于人工神经网络算法的曲面裁剪重构方法,完成了曲面重建模块与通用CAD/CAM系统的接口设计工作,对其中的若干关键问题进行了深入讨论,例如基平面设定、API技术的应用、边界裁剪等问题,同时,对曲面计算中较为困难的曲面相交问题也进行的专门探讨,最终完成了曲面重建模块向CAD/CAM系统的数据传输工作,使人工神经网络逆向工程系统趋向实用。

Only with such characteristics, the movement equations can be expressed as matrices, and the idea of transforming the movement equations to the simplest form through a nonlinear transformation can be realized;(2) The form of Zi =Yi + YTH2i Y + Y7H3i Y(2)+ Y(2)T H4i Y(2)+ YTH5i Y(3) is adhibited in the nonlinear transformation, so that the multivalued problem caused by the nonlinear transformation is avoided, and the higher order transformation can be taken next;(3) The fourth order nonlinear transformation matrices H21,H31,H41 and H51 are derived, by which the original movement equations of electric power system is transformed to Jodan form in Z space;(4) By use of the fourth order nonlinear transformation, the approximate expression of the stability boundary is obtained, in Z space it is Z1= 0,in Y space it is Y1 + YTH21 Y + YTH31 Y(2)-i- Y(2) TH41 Y(2)+YTH51 Y(3)= 0;(5) The criterion used in this paper to judge whether the system critical unstable is simple and quick;(6) The method used in this paper is a direct method, and no need to construct an energy function.

正是由 于电力系统的运动方程具有这样的特性,才能写成矩阵的形式,通过非线性变换将电力系统的运动方程变换为最简单的线性形式的思想才能得以实现;(2)将通常运用于电力系统暂态稳定性分析的Normal Form变换的形式由 Yi= Zi+ ZTh2riZ变形为 Zi= Yi+YTH2iY+YTH3iY(2)+Y(2)TH4iY(2)+YTH5iY(3),从而使得在对持续故障轨线实施同样的非线性变换以确定临界切除时间时,避免了非线性变换带来的多值性的问题,而只有在没有多值性问题的困扰下,才能采用较高阶的变换:(3)推导出了将原始电力系统系统的运动方程变换到Z空间的约当形式的非线性变换矩阵H21、H31、H41、HS1:(4)在运用四阶了「线性变换的情况下,给出了受扰动后系统的稳定边界的近似的解析表达,在Z空间为Z1=0,在y空间为: Y1+YTH21Y+YTH31Y(2)+Y(2)TH41Y(2)+YTH51Y(3)=0 (5)确定临界失稳的判据简单、快捷:对于一个复杂的电力系统,其稳定边界是相当复杂的一个高维曲面,即便是已知系统稳定边界的解析表达,要求出系统持续故障轨线何时与这一高维曲面相交,在数学上几乎是不可能实现的。

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