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说明：  蚁群算法程序，能很好的帮组初学者对蚁群算法的理解。希望对你有所帮助。(Ant colony algorithm program, can help set a good understanding of the ant colony algorithm for beginners. I hope for your help.)

基带传输： 欲传送的01比特流 + 码型变换（HDB3码） + 基带成型网络（采用升余弦滚降系统）+ 信道 + 码型反变换 + 01比特流。 (Baseband transmission: To send the 01 bit stream+ code type transformation (HDB3 code)+ base-band forming network (with raised cosine roll-off system)++ code based channel inverse transform+ 01 bit stream.)

nmap最新windows环境下的源代码，对提高大家的编程能力有很大帮助(The latest source nmap windows environment, to improve our programming skills are very helpful)

拓扑优化99行的Python版本，很强的大Python指导版本(Topology optimization Python version of the 99 line, a strong big Python guide version)

说明：  滑膜变结构控制的matlab仿真程序,学习滑膜变结构控制的基础。(Variable structure control synovial matlab simulation program, learning the basis of variable structure control synovium.)

The codes implement two algorithms Multilinear Principal Component Analysis (MPCA) and MPCA+LDA

绘制心形图案。基于matlab语言绘制心形图案，最终生成6幅图案。(Draw a heart-shaped pattern. 6 based the matlab language plotted heart-shaped pattern, the resulting pattern.)

This page updated 20 September 2018. Latest build = 4.4.07 on 03 Oct 2017. Contact A. David Redish (redish AT umn.edu) with questions, bug-reports, etc. If you would like to be included on an MClust-4.0 email list of bug reports, please send an email to ADR with MClust-4.0-registration in the header. The only messages that will go to this email list will be sent by ADR and will refer to data-level bugs in MClust.

针对多目标测控问题，提出了一种实用的利用基于圆阵的数字波束形成技术来实现目标跟踪的系统。在系统实际工作于噪声和干扰环境中时，为避免计算梯度时可能出现的数值突变，提出了一种修正的梯度跟踪自适应算法，可靠地实现了权值更新，并对各阵元输出进行加权合并，以获得最大信号输出，同时实现对目标方位角和俯仰角的自动捕获和跟踪，且跟踪迅速、正确、稳定。仿真结果表明了所提出的方案的正确性。(Monitoring and control for multi-objective problem, a practical circular array-based digital beam forming technology to achieve target tracking system. Practical work in the system noise and interference in the environment is investigated in order to avoid calculate the gradient values may be mutations present a modified gradient tracking adaptive algorithms, reliably achieve the right value update, and the output of the array weighted combined to obtain maximum signal output, while achieving the target azimuth and elevation of the automatic capture and tracking, and tracking fast, accurate and stable. Simulation results show that the proposed scheme is correct.)

ai prolog examples ai prolog examples ai prolog examples ai prolog examples ai prolog examples (ai prolog examples)