it is file ralated to Artificial Intelligence

应用背景多种VB皮肤可供应用，清新、炫酷的皮肤，让您的VB界面不再是单一的风格，让您的用户更加享受使用您的软件。本软件调用SkinH_VB6.dll，应用38种皮肤（.she）可供选择。关键技术本软件调用SkinH_VB6.dll，提供38种皮肤（.she）风格。

自己写的银行信息管理系统-write his bank information management system

uml格式实现学生课程注册管理系统,为详细课程设计!-UML Student Course Registration Form realize management system, for a detailed course design!

合金战绩单机 合金战绩单机 -合金战绩

C语言陷阱详细解释,内容详细,有具体实例说明-C language trap elaborate, detailed and specific examples

R 树， 存取方式的当中最普遍的的用长方形， 是根据区域的启发式优化围绕的长方形在各个内在结点通过运行在一张规范化的试验平台下高度变化的数据， 询问和操作众多的实验， 我们能设计合并联合的优化的R* 树区域， 各个附寄的长方形边际和交叠在目录使用我们规范化的试验床在详尽表现比较，它结果R* 树清楚地胜过现有的R 树变形Guttman’s线性和二次方R 树和R 树的格林变形，R* 树的这优势举行为不同的型询问和操作， 譬如地图覆盖物。 为两个长方形和多维点在所有实验从一个实用观点R* 树是非常有吸引力的由于以下二个原因1 它高效率地支持点和空间数据同时和2 它实施费用比那少许高级其它R 树。-R tree, which forms of access to the most common use of a rectangular shape, which is based on heuristic optimization rectangular inherent in all nodes running on a standardized test platform height data, inquiries and the operation of many experiments, we can design the optimal merging of the joint R* Tree region, judging from the various and overlapping rectangular marginal in the directory using our standardized test bed in a detailed performance comparisons, and it results R* tree clearly better than the existing R-tree deformation Guttman"s linear and quadratic R-tree and R Green Tree deformation, R* Tree of this advantage at different type of inquiry and operation, such as maps cove

概要设计说明书-outline design brochures

两个常用的单片机仿真实验板，里面有详细的教程和例子，大家一看便懂！-Two commonly used single-chip simulation board, which has a detailed tutorial and examples, everyone will know one to see!

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状态图实际上是一类问题的抽象表示。事实上，有许多智力问题(如梵塔问题、旅行商问题、八皇后问题、农夫过河问题等)和实际问题（如路径规划、定理证明、演绎推理、机器人行动规划等）都可以归结为在某一状态图中寻找目标或路径的问题。因此，研究状态图搜索具有普遍意义。 -State diagram is actually a class of abstract representation of the problem. In fact, there are many mental problems (such as the Hanoi Tower problem, traveling salesman problem, the eight queens problem, the farmer across the river and so on) and the actual problems (such as path planning, theorem proving, deductive reasoning, robot action planning, etc.) can be attributed to in a state diagram for the target or the path to find the problem. Therefore, the study state diagram search of universal significance.