搜索资源列表
lmbp
- 基于LM算法的神经网络算法，最快的神经网络训练算法，但对内存要求高。-Matlab LM BPNN algorithm develop professional book
bys
- 采用贝叶斯正则化算法提高BP网络的推广能力。在本例中，将采用两种训练方法，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。-The use of Bayesian regularization algorithm for BP network to improve generalization ability. In this case, two types of training methods will b
RBF
- 基于LM训练算法的自生长RBF神经网络模型.-LM training algorithm based on the RBF neural network model
shuiwenNeuralNetwork
- 神经网络预测水文年。使用标准BP网络、L-M算法、径向基数（RBF）网络算法，分别对水文年尽心预测和对比-Neural network hydrological year. Using the standard BP network, LM algorithm, radial base (RBF) network algorithm, respectively, years of dedication to the hydrological forecast and comparison
rbfinterp_v1[1].2
- LM编程算法，在神经网络中有很大应用之处，神经网络源代码,及BP网络训练界面,其中的L-M算法非常实用 -LM programming algorithm, in a large neural network applications, the neural network source code, and the BP network training interface, in which the LM algorithm is very practical
BP-LM
- BP 算法的神经网络，采用VC编制，具有较好的鲁棒性和快速收敛特性。-BP algorithm of neural networks, the use of VC establishment, has good robustness and fast convergence properties.
lmbp
- 基于LM算法的神经网络算法，最快的神经网络训练算法，但对内存要求高。-Matlab LM BPNN algorithm develop professional book
BP-LM
- 一种利用神经网络计算L-M算法的程序。里面还有其他的算法可以参考-A neural network algorithm for calculating the LM procedure. There are other algorithms which can refer to
psoooLMBP
- 用粒子群算法和LM算法结合的方式训练神经网络，求函数的最小值。-Using Particle Swarm Optimization and the LM algorithm combines the approach for training neural networks, seeking the minimum value of the function.
LM
- levenberg-marquardt算法用于模糊系统训练-levenberg-marquardt algorithm for fuzzy system training
BP
- 基于大坝温控的温度预报程序，采用了L-M优化算法和贝叶斯正则化算法，结果良好-Prediction based on the temperature of the dam temperature control program, using the LM optimization algorithm and the Bayesian regularization algorithm, good results
lmnnetwork
- lm神经网络工具箱包含了神经网络算法的 一些优化改进-lm neural network toolbox contains some of the optimization of neural network algorithm improvements
NEURAL-NETWORK-LM-ALGORITHM
- 一种前馈神经网络算法,关键词：神经网络；误差反向传播算法；Hesse矩阵-A MODIFIED FEED-FORWORD NEURAL NETWORK LM ALGORITHM
BP-neural
- LM算法和BFGS拟牛顿算法对BP神经网络的性能影响分析，我的课题作业，希望对大家有帮助。-The performance analysis basde on the impact on BP neural network of LM and BFGS quasi-Newton algorithm , the subject of my work, I hope to be helpful.
BP_LM
- 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 -Bayesian regularization algorithm to improve the generalization ability of BP network. In this example, we use two training methods, namely LM optimization algorithm (trainlm) and Baye
BP-neural-network
- BP神经网络（L-M算法） 对前向网络初始化 采用改进BP算法训练前向网络 对前向网络仿真-BP neural network (LM algorithm) to initialize the network prior to using simulation to improve before the network before the network BP algorithm training
LM
- 利用LM算法优化BP神经网络的matlab源程序。-LM algorithm to optimize the use of BP neural network matlab source.
LMBPNN
- 利用LM训练算法来改善BP神经网络的梯度下降法的训练算法。-Using LM training algorithm to improve BP neural network training algorithms gradient descent.
CPP-LM-BP
- 利用LM训练算法来优化BP神经网络算法。-LM training algorithm to optimize the use of BP neural network algorithm.
chengxu.m
- lm算法功能实现 拟合曲线 得到想要的曲线-lm algorithm functions to achieve the desired curve fitting curves