用遗传算法实现任务分配优化的源程序。-genetic algorithm optimization task allocation of the source.

微分进化算法DE是1995年由Rainer Storn和Kenneth Price首先提出。DE已被证明在求解过程中具有高效性、收敛性、鲁棒性等优点[5,6] 。它在许多优化问题中都表现出优于自适应模拟退火算法、POS 算法、GA算法的性能。DE利用实数值参数向量作为每一代的种群，它的自参考种群繁殖方案与其他优化算法不同。-DE was first proposed in 1995 by Rainer Storn and Kenneth Price and had been proven that it is efficient, convergent, and robust in the solution process. [5,6] In many optimize questions, its performance surpasses the adaptive simulated annealing algorithm, the POS algorithm, and the GA algorithm. DE gets each generation of population using the real value parameter vector, and the crucial idea of DE is a scheme for generating trial parameter vectors.

是一个非常全面的pso的程序，有16个函数的测试，并且用三维图形将寻优过程显示出来。对所有的参数都可以修改测试-Is a very comprehensive procedure for the PSO, there are 16 function testing, and using three-dimensional graphics optimization process will be displayed. For all the parameters can modify the test

神经网络中神经元线性模型的C语言实现源程序！-Neural network linear model neurons realize the C language source code!

遗传算法解决NN逼近任意函数-genetic algorithm to solve arbitrary function approximation NN

中文分词

我的人工神经网络作业，包括BP网络的学习，训练和回想，初学人工神经网络的可以-My artificial neural network operation, including the BP network learning, training and recall, learning artificial neural network can

WinSVM支持向量机预测分类使用指导书-WinSVM support vector machine classification for prediction guide book

Adaline Network Pattern Recognition 人工智能人工神经网络源码-Adaline Network Pattern Recognition of artificial neural network artificial intelligence source

停车诱导系统中车位预测模型的研究 摘 要 研究城市停车诱导系统的停车车位占有率预测问题。首先提出墓于B P神经网络的车位占有预测模型， 同时将自适应 学习速率调整法和加入动量项方法用于改善基本B P神经网络， 优化了学习速率， 减少了训练过程的震荡趋势， 改善了网络的收效 隆。以此为基础实现了停车位的智能预测 0最后， 进行了多种方法比对实验-err