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A quickstart tool for AmpliconArchitect. Performs all preliminary steps (alignment, CNV calling, seed interval detection) required prior to running AmpliconArchitect. Previously called PrepareAA.
CET4_CET6真题一键下载(1989-2021)
Python+PyQt5实现五子棋游戏(人机博弈+深搜+α-β剪枝)
上周的人工智能实验课要求我们做一个基于Python的简单的专家系统并用PyQt5实现图形化界面。于是我结合之前爬取的bilibili和慕课网的网课信息做了一个基于课程标签分类的智能推荐专家系统
“火星探矿机器人”旨在要开发若干个自主机器人,将其送到火星上去搜寻和采集火星上的矿产资源 火星环境对于开发者和自主机器人而言事先不可知,但是可以想象火星表面会有多样化的地形情况,如河流、巨石、凹坑等,机器人在运动过程中会遇到各种障碍;另外,火星 上还可能存在一些未知的动态因素(如风暴等),会使得环境的状况发生变化。概括起来,火星环境具有开放、动态、不可知,难控等特点。 为了简化案例的开发和演示,可以将机器人探矿的区域(即机器人的运动环境)简化和抽象成m*m的单元格,每个单元格代表某个火星区域,火星矿产分布在这些单元格中,同时这些单元格中还存在阻碍机器人运行的障碍物。探矿机器人在这些网格中运动,根据感知到的网格环境信息自主地决定自身的行为。如果所在的单元格有矿产,则采集矿产;如果探测到附近的单元格存在矿产,则移动到该单元格;如果周围的单元格存在障碍物﹐则避开这些障碍物。环境网格有两个特殊的单元格:一个是矿产堆积单元格,用于存放机器人采集到的矿产,如图6-21中的左下角;另一个是能量补充单元格,机器人可以从该单元格获得能量。
存放一些共享的代码
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