搜索资源列表
CGAL-3.1.tar
- CGAL is a collaborative effort of several sites in Europe and Israel. The goal is to make the most important of the solutions and methods developed in computational geometry available to users in industry and academia in a C++ library.
biome-0.0.4.tar
- Biome是一个c++库,它的目的是个人_基于代理的模拟器(象 Swarm 或EcoSim)。它试图尽可能达到高效并且同时有好的设计-PROJECT is a c library, it is aimed at individual _ Agent-based simulator (like Swarm or EcoSim). It seeks to achieve efficient as possible while it is good design
cpplibga.1.3.tar
- free library of genetic algorithms
inanna-0.3.3.tar
- 是一个面向对象的人工神经网络C++库。库文件基于MagiClib基础类库(包含其中)-is an object-oriented artificial neural network C library. Libraries are based on MagiClib foundation class library (which includes)
libsvm.tar
- library for SVMclassification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic model selection tool for C-SVM classification.
bbga-1.0-i386.tar
- 很好的遗传算法库,并且有详细的说明文档,Visual 2003环境下编写-A good genetic algorithm library, and a detailed descr iption of documents, Visual 2003 environment to prepare
fga-1.4.tar
- 使用Visual C++ 2003编写的遗传算法库,具有详细的说明文档,使用接口函数传入相关适应度函数与基因个数、迭代次数相关信息,进行目标优化,使用类模板的形式支持函数并行化-Using Visual C++ 2003 prepared by the genetic algorithm library, a detailed descr iption of the document, use the interface function is passed the fitness functi
libgep-0.4.src.tar
- LibGEP, a C++ library dedicated to Gene Expression Programming.
masters_thesis_code.tar
- Michael G. Ross (mgross@ai.mit.edu) MIT Artificial Intelligence Lab October 3, 2-The Segmentation.cc file originally contained a quickSort function taken from the book Numerical Recipes in C. Recently I became aware that the NRC authors prohi
gaul-devel-0.1850-0.tar
- A flexible programming library for evolutionary computation. Steady-state, generational and island model genetic algorithms are supported, using Darwinian, Lamarckian or Baldwinian evolution. Includes support for multiprocessor and distributed system
lib.tar
- 将训练之后的caffe model生成.so库文件,方便在工程中直接调用,不需要写caffe test分代码(he Caffe model after the training is generated for the.so library file, which is convenient to call in the project and does not need to write Caffe test code)
