The traditional BP neural network algorithm has some bugs such that it is easy to fall into local minimum and the slow convergence speed. Artificial Bee Colony Algorithm, which based on foraging behavior of honeybee swarms, is a new heuristic bionic algorithm and a typical kind of swarm ...
BP神经网络是ANN的一种具体实现，主要特点在于其训练算法，即反向传播算法（Backpropagation Algorithm）。B...
五、参考文献及代码私信博主 ^X. S. Yang, A New Metaheuristic Bat-Inspired Algorithm, in: Nature Inspired Cooperative Strategies for Optimization (NISCO 2010), Studies in Computational Intelligence, Springer Berlin, 284, Springer, 65-74 (2010).http://arxiv.org/abs/1004.4170 ^J. D. Altringham...
BP (Back Propagation) neural network is a group of scientists headed by Rumelhart and McCelland 1986, is a kind of according to the error Back Propagation algorithm training of the multilayerfeedforward network, is currently one of the most widely used neural network model. BP network can lear...
自适应遗传算法(Adaptive Genetic Algorithm)是一种基于遗传算法的优化方法,它通过模拟生物进化的过程来寻找最优解。而BP神经网络(Backpropagation Neural Network)则是一种常用的人工神经网络模型,用于解决分类和回归问题。本文将介绍如何利用改进的自适应遗传算法来优化BP神经网络,以实现对SOC(State of Charge)的预测,并...
[4] How the backpropagation algorithm works(http://neuralnetworksanddeeplearning.com/chap2. html) [5] Backpropagation Algorithm](http://deeplearning.stanford.edu/wiki/index.php/Backpropagation_Algorithm) [6] 链式求导法则,台湾中华科技大学数位课程,Youtubehttps://www.youtube.com/watch?v=UXF2--...
而BP神经网络(Backpropagation Neural Network,简称BPNN)是其中最为经典的一种。然而,BP神经网络算法在训练过程中存在收敛速度慢、易陷入局部最优等问题。为了改进BP神经网络的性能,遗传算法(Genetic Algorithm,简称GA)可以被引入到BP神经网络中,从而提高其收敛速度和全局最优性。
看来的确就是这个映射来实现的. 对于上面algorithm中的映射函数 其中ymin,和ymax是参数,可以自己设定,默认为-1,1; 比如: 代码语言:javascript 复制 >>[y,ps]=mapminmax(x1);>>ps.ymin=0;>>[y,ps]=mapminmax(x1,ps)y=00.33331.0000ps=name:'mapminmax'xrows:1xmax:4xmin:1xrange:3yrows:1ymax:1ymin...
[5] Backpropagation Algorithm - http://deeplearning./wiki/index.php/Backpropagation_%20Algorithm [6] 链式求导法则,台湾中华科技大学数位课程,Youtube 视频,需要翻墙,顺便安利一下他们的数学相关的视频,因为做的都非常浅显易懂 - https://www./watch?v=UXF2--Ghxb0 ...
BP网络,全称为反向传播神经网络(Backpropagation Neural Network),是一种基于误差反向传播算法(Error Backpropagation Algorithm)的多层前馈神经网络。BP网络自1985年提出以来,因其强大的学习和适应能力,在机器学习、数据挖掘、模式识别等领域得到了广泛应用。以下将对BP网络的基本概念、训练原理及其优缺点进行详细阐述。