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yichuan
- 基于神经网络与遗传算法的多目标函数优化求解程序-Multi objective function is based on neural networks and genetic algorithm optimization solver
chapter3
- 遗传算法、粒子群算法优化BP神经网络-非线性函数拟合-Genetic algorithm and particle swarm optimization for BP neural network nonlinear function fitting
GA_BP
- 基于遗传算法的BP神经网络优化算法,以某拖拉机的齿轮箱为工程背景,介绍使用基于遗传算法的BP神经网络进行齿轮箱故障的诊断。-BP neural network optimization algorithm based on genetic algorithm, in the engineering background of a tractor gearbox, introduces using BP neural network based on genetic algorithm for g
GA-BP
- GA-BP代码(遗传算法改进优化BP神经网络算法)-GA-BP code (genetic algorithm improved BP neural network algorithm)
chi-lun-xiang
- 基于遗传算法的BP神经网络优化算法。以此方法对齿轮箱进行故障诊断。-Optimization Algorithm of BP Neural Network Based on Genetic Algorithm. In this way, the gearbox is diagnosed
jeipou_v30
- 能量熵的计算,遗传算法无功优化,基于人工神经网络的常用数字信号调制。- Energy entropy calculation, Genetic algorithm based reactive power optimization, The commonly used digital signal modulation based on artificial neural network.
GA-BP
- 利用遗传算法对BP神经网络进行优化,算法效果较好,可移植性强。(The genetic algorithm is used to optimize the BP neural network, and the algorithm is effective and transplantable.)
PSO
- 粒子群优化算法(PSO:Particle swarm optimization) 是一种进化计算技术(evolutionary computation)。 源于对鸟群捕食的行为研究。粒子群优化算法的基本思想:是通过群体中个体之间的协作和信息共享来寻找最优解. PSO的优势:在于简单容易实现并且没有许多参数的调节。目前已被广泛应用于函数优化、神经网络训练、模糊系统控制以及其他遗传算法的应用领域。(The particle swarm optimization (PSO:Part
GA-BP汇总大全(含详细教程代码和论文)
- 文中包含利用遗传算法进行优化的梯度下降神经网络的代码和教程,内容非常丰富,包含可以直接运行的代码和相关重要参考文献论文,可帮助理解,属于很综合的优秀资料,个人现分享出来供大家学习,谢谢!(This article contains the code and tutorial of gradient descent neural network optimized by genetic algorithm. The content is very rich, including the code