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嵌入式Linux This program is distributed in the hope that it will be useful, ** but WITHOUT ANY WARRANTY without
This program is distributed in the hope that it will be useful,
** but WITHOUT ANY WARRANTY without even the implied warranty of
** MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
** GNU General Public License for more details.
人工智能/神经网络 /* This a simple genetic algorithm implementation where the */ /* evaluation function takes positiv
/* This a simple genetic algorithm implementation where the */
/* evaluation function takes positive values only and the */
/* fitness of an individual is the same as the value of the */
/* objective function
编译器/解释器 // Copyright (c), Philips Semiconductors Gratkorn // (C)PHILIPS Electronics N.V.2000 // All rights
// Copyright (c), Philips Semiconductors Gratkorn
// (C)PHILIPS Electronics N.V.2000
// All rights are reserved.
// Philips reserves the right to make changes without notice at any time.
// Philips makes no warranty, expressed, implied or statutory, including but
// not limited to any implied warra ...
压缩解压 THIS DESIGN IS PROVIDED TO YOU "AS IS". XILINX MAKES AND YOU RECEIVE NO WARRANTIES OR CONDITIONS, EX
THIS DESIGN IS PROVIDED TO YOU "AS IS". XILINX MAKES AND YOU RECEIVE NO WARRANTIES OR CONDITIONS, EXPRESS, IMPLIED, STATUTORY OR OTHERWISE, AND XILINX SPECIFICALLY DISCLAIMS ANY IMPLIED WARRANTIES OF MERCHANTABILITY, NON-INFRINGEMENT, OR FITNESS FOR A PARTICULAR PURPOSE. This design has not been ver ...
人工智能/神经网络 实现了一个简单的花朵进化的模拟过程。 花朵的种群数量是10
实现了一个简单的花朵进化的模拟过程。
花朵的种群数量是10,共进化了50代。
通过运行程序,你会发现通过不断的进化,种群的总的适应环境的能力在逐步提高(fitness的值下降)。
人工智能/神经网络 A dissipative particle swarm optimization is developed according to the self-organization of dissip
A dissipative particle swarm optimization is
developed according to the self-organization of dissipative
structure. The negative entropy is introduced to construct an
opening dissipative system that is far-from-equilibrium so as to
driving the irreversible evolution process with better fitness.
The ...
matlab例程 个程序就是最基本的粒子群优化算法程序
个程序就是最基本的粒子群优化算法程序,用Matlab实现,非常简单。是主函数的源程序,优化函数则以m文件的形式放在fitness.m里面,对不同的优化函数只要修改fitness.m就可以了通用性很强。
matlab例程 小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_tes
小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. ...
微处理器开发 This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY withou
This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.