使用Python实现的神经网络的代码行数并不多,仅包含一个 Network 类,首先来看看该类的构造方法。 def __init__(self, sizes): """ :param sizes: list类型,储存每层神经网络的神经元数目 譬如说:sizes = [2, 3, 2] 表示输入层有两个神经元、 隐藏层有3个神经元以及输出层有2个神经元 """ # 有几...
which effectively improve the convergence of BP algorithm,to avoid falling into local minimum point;finally,describes in detail the application of BP neural network in face recognition.Effective research on BP neural network,which can be further development and application of BP networks play an ...
1.BP neural network optimized by PSO algorithm on Ammunition storage reliability prediction 文献简介 文献来源:https://ieeexplore.ieee.org/document/8242856 文献级别:EI检索 摘要:Storage reliability of the ammunition dominatesthe efforts in achieving the mission reliability goal. Prediction ofstorage reliabil...
Keywords:imagecompression;BPnetwork;improvedgeneticalgorithm;GA-LMbpmethod 传统的图像压缩技术利用图像数据间冗余的 减少,用相应的编码技术对图像进行无损或有损的 压缩 [1] 。不同的压缩编码技术针对不同的图像数 据冗余,而近年来,随着人工神经网络技术的不断 发展,神经网络的一些良好特性:如并行性、非线 性、容...
本文直接举一个例子,带入数值演示反向传播法的过程,公式的推导等到下次写Auto-Encoder的时候再写,其实也很简单,感兴趣的同学可以自己推导下试试:)(注:本文假设你已经懂得基本的神经网络构成,如果完全不懂,可以参考Poll写的笔记:[Mechine Learning & Algorithm] 神经网络基础) ...
nn = BP_Neural_Network(input_size=3, hidden_size=2, output_size=1) 6.Initialize the input and target data X_train = np.array([[0, 0, 1], [1, 1, 1], [1, 0, 1], [0, 1, 1]]) y_train = np.array([[0], [1], [1], [0]]) 7.Initialize the PSO algorithm pso =...
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...
A New improved BP Neural Network Algorithm 热度: 人工神经网络的BP算法及其应用 热度: 相关推荐 2014年8月窑信息安全与技术 1引言 BP神经网络归类于前馈型神经网络袁原始信息由 输入单元输入袁经输入单元分配到隐含层的各神经元袁 除输入层以外袁每个神经元的信息是由上一层神经元状 态与相对应的连接权值决定...
The back propagation (BP) neural network algorithm is a multi-layer feedforward network trained according to error back propagation algorithm and is one of the most widely applied neural network models. BP network can be used to learn and store a great deal of mapping relations of input-output...
BP神经网络,全称为反向传播神经网络(Backpropagation Neural Network),是一种在机器学习、数据挖掘和模式识别等领域广泛应用的人工神经网络模型。其工作原理基于多层前馈网络结构,通过误差反向传播算法(Error Backpropagation Algorithm)来训练网络,实现对复杂问题的学习和解决。以下将详细阐述BP神经网络的工作方式,涵盖其基本...