资源列表
BEE1
- 模拟蜜蜂采蜜的具有人工生命特性的VB程序 可以作为学习人工生命的一个不错的入门-simulation honey bees with artificial life characteristics of VB program can be used as learning artificial life a good entry
gpcpp4
- genetic programming in C++ Adam Fraser University Of Salford, Salford, M5 4WT, United Kingdom-genetic programming in C++ Adam Fraser University Of Salford, Salford, M5 4WT, United Kingdom
simpleCS
- Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg -Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
scsc-0.99j
- SCS-C is another port to C of Goldberg s Simple Classifier System, with a few extensions.-SCS-C is another port to C of Goldberg s Simple Classifier System, with a few extensions.
Eyes Location by Hierarchical SVM Classifiers
- 模式识别中人连识别眼镜定位，用的是matlab支持向量机开发的-human pattern recognition to identify even glasses positioning, using the Matlab SVM Development
exercices
- 这是用prolog写的几个程序：程序１是一个旅行社关系系统，程序２是一个家族关系系统，程序３是一个成绩管理系统-This is prolog written several programs : a procedure is a travel agency relations systems, procedures 2 is a family relationship systems, procedures 3 is a performance management system
Taquin_v1.1.tar
- 这是个解决八码问题的程序，是外国人编的，用了图形处理技术，请大家参考-This is a solution of 8 yards procedures, the series is a foreigner, his use of graphics processing technology, please refer to
IJ.15-BIOSYS97.ps
- 神经网络算法原程序内容较详细。希望大家仔细讨论这个问题。-neural network algorithm original program content in more detail. We hope to discuss this issue carefully.
产品设计时间智能预测方法的研究
- 产品设计时间智能预测方法的研究，值得借鉴一下-product design time intelligent prediction method of research, worth learning about
企业竞争力关键决定因素的直觉模糊识别模型
- 企业竞争力关键决定因素的直觉模糊识别模型，值得借鉴-competitiveness of enterprises key determinants of intuition fuzzy recognition model, worth learning
基于人工神经网络的房地产项目评判模型
- 基于人工神经网络的房地产项目评判模型，值得一看-based on artificial neural network evaluation model for real estate projects, an eye-catcher
一个fuzzybp训练的程序，值得初学者入门借鉴
- 一个fuzzybp训练的程序，值得初学者入门借鉴-a fuzzybp training procedures, beginners should learn from entry