人工神经网络库FANN安装使用教程.doc

来自 : max.book118.com/html/2018/0113 发布时间：2021-03-26

Fast Artificial Neural Network Library is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. PHP, C++, .NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data and Mathematica bindings are available. A reference manual accompanies the library with examples and recommendations on how to use the library. A graphical user interface is also available for the library. !--[if !supportEmptyParas]-- ? !--[endif]-- 编译运行:首先下载开发包。源码包——/download/12.html文档——/download/13.html !--[if !supportEmptyParas]-- ? !--[endif]-- !--[if !supportEmptyParas]-- ? !--[endif]-- 本文安装开发环境使用 CentOS 5.1。解压 fann-2.1.0beta.zip 文件，拷贝到 linux开发环境中 !--[if !supportEmptyParas]-- ? !--[endif]-- 在linux系统中：[root@localhost yl]# cd fann-2.1.0beta/[root@localhost fann-2.1.0beta]# lsfann-2.1.0[root@localhost fann-2.1.0beta]# cd fann-2.1.0/[root@localhost fann-2.1.0]# ./configurechecking for a BSD-compatible install... /usr/bin/install -cchecking whether build environment is sane... yes编译源码：[root@localhost fann-2.1.0]# makeMaking all in src !--[if !supportEmptyParas]-- ? !--[endif]-- 进入到examples目录，编译自带的例子：gcc -O3 -ggdb -DDEBUG -Wall -Wformat-security -Wfloat-equal -Wshadow -Wpointer-arith -Wcast-qual -Wsign-compare -pedantic -ansi -I../src/ -I../src/include/ ../src/floatfann.c xor_train.c -o xor_train –lmgcc -O3 -ggdb -DDEBUG -Wall -Wformat-security -Wfloat-equal -Wshadow -Wpointer-arith -Wcast-qual -Wsign-compare -pedantic -ansi -I../src/ -I../src/include/ ../src/floatfann.c xor_train.c -o xor_test –lm !--[if !supportEmptyParas]-- ? !--[endif]-- 运行 xor_train 和 xor_test程序可以看到学习和测试的结果。 !--[if !supportEmptyPara