资源列表
N-GEN-(19)
- The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific
text-est
- 这是一篇综述文章，介绍文本分析的参数估计问题，主要是贝叶斯模型包括PLSA，LDA等-This technical note is intended to review the foundations of Bayesian parameter estimation in the discrete domain, which is necessary to understand the inner workings of topic-based text analysis approache
dbacl.tar
- dbacl是一个通用目的的digramic贝叶斯文本分类器。它可以学习你提供的文本，接着用 学到的类别来比较新的输入。它可以用于垃圾邮件过滤，或在你自己的外壳脚本中使用。 -dbacl is a general-purpose text digramic Bayesian classifier. It can learn to provide you with the text, then uses learned relatively new type of input. It can be
On-State-Feedback-Control
- 状态反馈控制混沌系统 利用一种简单的线性状态反馈方法控制混沌运动 ,引导混沌系统稳定到失稳的平衡点或 周期轨道上 ,用劳斯2胡尔维茨稳定判据判定受控系统在平衡点处参数的取值范围 ,同时使用广义 Hamilton 系统理论的 Melnikov 方法分析受控系统的周期解. 通过对典型的混沌系统进行数值仿 真 ,证实了该控制方法的有效性.- A Linear state feedback control technique is used to guide the typical ch
CMs2007-0.90
- 足球机器人的全部源代码（实际应用项目）硬件也已上传-Soccer Robot all the source code (the practical application of project) hardware has been upload
rreprocessor
- 基于进化算法的多目标优化,以matlab程式所寫成,請大家參考參考-Multi-objective optimization based on evolutionary algorithm, using matlab programs are written, please refer to
MO-JGA
- 从其他地方下载的多目标进化算法的源码，用JAVA编的多目标进化算法的框架-Downloaded from other parts of multi-objective evolutionary algorithm source code, using JAVA for the multi-objective evolutionary algorithm framework
CYBER-MICE-PARTY-
- 电子老鼠走迷宫的模拟过程 包括友好的展示界面-Electronic Mouse Maze of the simulation process including the friendly display interface
compareBPandRBF
- 该文介绍了BP和RBF神经网络在人脸识别中的比较。
psolbg
- 对粒子群进行优化算法求优并进行LBG算法的运行-Particle swarm optimization algorithm and the LBG algorithm find optimal operation
ant_param
- 蚁群算法中参数设置的研究,设置最优化的参数，来达到优化效果-The research on the parameters of ant colony algorithm
gatbx
- 遗传算法工具箱，是一种高级智能计算语言，它能快速的在大范围内找到目标函数的最优解-Genetic Algorithm Toolbox is an advanced intelligent computing language, it can quickly find the optimal solution of the objective function in a wide range