搜索资源列表
BP-Replacement-Algorithms-(LM-a-CG)
- Back Propagation Replacement Algorithms (LM & CG) in Neural Network.
ANN_test
- 实现三层神经网络，其中基于了基本的BP神经网络算法，同时也实现了LM训练算法，加速训练的收敛时间-Achieve three-layer neural network, which based on the basic BP neural network algorithm, but also to achieve the LM training algorithm to accelerate the convergence of training time
BPMS
- 此程序是关于LM-BP算法的预测系统，能够利用图形界面的形式展示出预测的精度和误差- This program is on the LM-BP algorithm prediction system that can use a graphical interface to show the form of prediction accuracy and error
BP
- BP网络进行花瓣分类,训练方法有传统最速下降法和LM法。最速下降法在线更新，有过拟合的问题。LM法，采用批量更新。-BP network petals classify traditional training methods of steepest descent method and LM method. Steepest descent method online updates, there is the problem of over-fitting. LM method, using
bp2
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。 在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。-Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, na
BPP
- 此程序是基于BP神经网络的大气能见度预测系统，利用改进的LM算法对能见度进行预测。(Atmospheric visibility prediction system based on BP neural network)