载荷谱编辑_重点

说明：  给定一份step文件，将其中的拓扑结构和几何结构用代码提取出来。(Given a step file, the topology and geometry are extracted with code.)

说明：  一个采用robotstudio做的码垛工作站，里面有ABB机器人运动的所有资料，以及RAPID的详细程序。(A palletizing workstation made of robot studio contains all the information of ABB Robot Movement, as well as the detailed program of rapid.)

私服通用地图遍历器 遍历地址、坐标、血量、TAB建刷新(Universal map traversal device)

说明：  优化版 随机介质模型建立；模型的建立代码及其输出实例(the optimized random medium model which is based on the normal random medium model)

采用遗传算法和模拟退火算法解决ＶＬＳＩ中的布局优化问题()

说明：  超声换能器阵元的延时，可根据具体阵元进行相对于的计算(Transducer element delay)

不错的万年历，可以加载系统中单独使用,配有个节气注释，可以自行修改作为日程备忘-A good calendar, you can load the system alone, with Terms of the Notes, you can modify its own schedule as a reminder

说明：  GTM_DesignSim-master

针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模 型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫 网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定 位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数 (RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不 同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性. -Mathematical model for the actual object is not clear and difficult to control the problem, the use of artificial immune network model and the discrete learning algorithm, artificial immune systems and neural networks combine the advantages of structure, an artificial immune network based on pattern recognition algorithms, Construction of the object identified by artificial immune network model. the algorithm is a combination of network nodes to adjust the position and parameters as well as the basis function implementation of the smoothing factor, tuning and other functions, to effectively solve the Radial Basis Function (RBF) neural network pattern recognition of two phase of the task, so that the accuracy of pattern recognition have greater impro

采用python语言实现极限学习机算法，数据三分类，加入数据可以跑通(Using python language to achieve extreme learning machine algorithm, data three classification, join data can run through)