搜索资源列表
L-M算法(BP的一种改进算法)应用实例
- L-M算法(BP的一种改进算法)应用实例-L-M algorithm (BP an improved algorithm) Application
networkalgorithm
- 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-neural network source code, and BP training network interface, the L-M algorithm is very practical
L-M算法(BP的一种改进算法)应用实例
- L-M算法(BP的一种改进算法)应用实例-L-M algorithm (BP an improved algorithm) Application
networkalgorithm
- 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-neural network source code, and BP training network interface, the L-M algorithm is very practical
MatlabprogrammsforencodinganddecodingofLDPCcodesov
- There is an example of how to use the LDPC encode/decode with AWGN channel model in files .\ldpc_decode.m and .\GFq\ldpc_decode.m. There are a few parity check matrices available in the code but you can use othe
TL
- T L 字母识别 BP网络 改进的动量项法-TL-letter identification to improve the momentum BP network of law
bayes_bpnet
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。我们采用两种训练方法，即 L-M 优化算法（trainlm）-?捎??
bp.example
- 采用动量梯度下降算法训练BP网络，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-Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesi
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
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
ldpc-bp-log
- matlab环境下BP译码log程序,很简洁,已运行成-ldpc bp decoding of log in matlab enviorment
lm
- BP神经网络数字图像几何畸变矫正L-M优化算法-BP neural network LM digital image geometric distortion correction algorithm
L-MBP
- 这是BP的一种改进算法，能够加快训练，提高训练速度-This is an improved BP algorithm to speed up training to improve the training speed
L-M
- L-M,BP网络算法，用matlab语言编译-LM, BP network algorithm with matlab compiler
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
Bayes-in-BP(code)
- 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。-Use Bayes to train BP network
L
- 基于BP译码下的在不同码率情况下的LDPC性能比较-Different rate case based BP decoding LDPC performance comparison
BP-network
- 对量化厚度字母 T L 进行识别，bp三层神经网络，原创-To quantify the thickness T L identification, three layer bp neural network, the original
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