boundary_switch

说明：  fluent，使用UDF定义凝固模型中的源项，实现自热发热源(Fluent, using UDF to define the source term in solidification model, to realize self heating heat source)

说明：  转子磁场定向矢量控制的PWM逆变器仿真模型(Simulation Model of PWM Inverter with Rotor Field Oriented Vector Control)

通过设置不同的参数，生成BA无标度网络。(This progarm is to create a BA network by setting different parameters.)

本Matlab程序对需要高速穿越大气层的返回舱进行了纵向三自由度的模拟计算，只需输入如下基本参数，初始速度，再入高度，再入角。程序中有比较详细的说明。大气模型采用了真实的1976年美国标准大气模型，内附计算标准大气模型的Matlab程序，只需输入高度和高度间隔即可求出详细的参数值。(The Matlab program calculates the longitudinal three degrees of freedom of a reentry module that requires high speed passage through the atmosphere. Only basic parameters such as initial velocity, reentry height and reentry angle are entered. There are more detailed instructions in the program. The atmospheric model uses the real 1976 American Standard atmosphere model, which contains the Matlab program for calculating the standard atmospheric model. Only the input height and height interval can be used to find the detailed parameter values.)

使用zernike多项式进行光学像差的拟合，从而进行光学镜面像差的分析，有助于提高光学系统的加工精度。(The Zernike polynomial is used to fit the optical aberration, and the analysis of optical mirror aberration is helpful to improve the machining precision of the optical system.)

说明：  自组织映射神经网络，直接就可以流畅的运行出仿真效果图处理。(The self-organizing mapping neural network can directly run smoothly to process the simulation renderings.)

说明：  混凝土的弹塑性损伤问题，可以很好解决弹塑性损伤问题(The elastoplastic damage of concrete can be solved well)

说明：  自适应（ self-adaptive）是指处理和分析过程中,根据处理数据的数据特征自动调整处理方法、处理顺序、处理参数、边界条件或约束条件,使其与所处理数据的统计分布特征、结构特征相适应,以取得最佳的处理效果(Self-adaptive refers to the automatic adjustment of processing methods, processing sequence, processing parameters, boundary conditions or constraints according to the data characteristics in the process of processing and analysis, so as to adapt them to the statistical distribution characteristics and structural features of the processed data, so as to achieve the best processing effect.)

说明：  GRNN网络的预测——基于广义回归神经网络的货运量预测(Prediction of GRNN Network-- Freight Volume Forecast based on Generalized regression Neural Network)

利用D-S证据推理数据融合算法实现目标识别(Target Recognition Using D-S Evidence Reasoning Data Fusion Algorithm)