搜索资源列表
BP-of-Nonlinear-2
- 利用带动量项的改进ＢＰ神经网络算法对非线性函数进行拟合。通过验证函数，可以对训练好的数据进行验证。-Driven by the amount of improved BP neural network algorithm to fit the nonlinear function. Validated by the validation function, can be trained data.
BP_identification
- BP神经网络辨识Matlab程序。引入动量因子对BP算法进行改进，有注释，适合初学者。-BP neural network to recognize Matlab program. The introduction of momentum factor to improve the BP algorithm, annotations, suitable for beginners.
Improved-BP-neural-network-c
- 改进的BP神经网络算法，基于拟牛顿算法。-Improved BP neural network algorithm, based on the quasi-Newton algorithm.
BP-neural-network-algorithm
- 改进的BP神经网络算法,用C语言实现。大家可是试试。-Improved BP neural network algorithm, using C language. We but try.
enhanced-BP
- bp神经网络改进算法加入局部学习率自适应调整机制程序用于拟合函数-bp Neural Network Algorithm local learning rate adaptive adjustment mechanism procedure for fitting function
BP
- BP神经网络算法的改进在matlab中的实现-Improvements of the BP neural network algorithm implemented in matlab
pso-bp
- ＢＰ神经网络具有较强的非线性问题处理能力 是目前一 种 较 好 的 用 于 时 间 序 列 预 测 的 方 法 然 而 它 存 在 易 于 陷 入 局 部 极 小,针对地震预测的应用,用改进粒子群优化的ＢＰ算法对四川地区最大震级时间序列进行预测,通过训练 预 测 次 年 的 最 大 震 级 结 果,表明此方法优于未经优化的 ＢＰ算法具有良好的预测效果 -BP neural network has a strong nonlinear problems processing power is a
Character_recog_neural_improveBP
- 基于神经网络的字符识别技术研究，改进了BP算法-Character recognition based on neural network technology research, improved BP algorithm
BP-neural-network-algorithm
- 该资料是对智能算法中的神经网络算法的改进代码，改进的BP神经网络算法(C语言源码)-The information is intelligent algorithm neural network algorithm code, the improved BP neural network algorithm (C language source code)
PSO-BP
- PSO粒子群算法改进的BP神经网络，更改文件位置后即可使用-PSO PSO improved BP neural network can be used to change the file location
BP.m
- BP神经网络代码，使用LM算法（高斯牛顿法的改进，具有很好的鲁棒性）-BP neural network code, use the LM algorithm (modified Gauss-Newton method has good robustness)
BP
- 基于BP神经算法的C语言程序源代码,适合初学者学习并加以改进-Based on BP neural algorithm C language source code, suitable for beginners to learn and to improve
Implementation-of-BP-neural-network
- BP神经网络算法实现及优化，较好的对传统算法进行了改进和优化。-BP neural network algorithm and optimization, better improvement on traditional algorithms and optimization.
GA-BP-nihe
- 神经网络30个案例分析源码，又名智能控制30个案例分析,案例二，遗传算法改进的BP神经网络拟合-30 case studies of neural network source code, also known as intelligent control 30 case studies, case two, GA improved BP neural network fit
chap10
- 关于用遗传算法改进BP神经网络的matlab实现(转引) ga优化神经网权值&阈值程序。 优化的基本原理和过程很多论文可以查到，在此不必赘述我就把用gaot5的小程序贴在下面吧，也是y=1/x(为看的方便，比较繁杂的也有) -About matlab improved BP neural network using genetic algorithm implementation (quoted) ga optimizing neural network weights & T
BP
- matlab实现的BP神经网络程序（没有使用ANN toolbox）。包含一个实例程序，写在main.m中。main2.m是引入动量项的改进算法，main3.m是引入自适应调整学习速率的改进方法。-the matlab program of BP neural network（without using ANN toolbox）。The files including a instance（wirtten in main.m）。
test1116biaozhun_finally
- BP神经网络算法，没有借助工具箱，纯公式迭代算法，可以进行改进，优化BP算法-BP network
BP
- BP神经网络，改进后的高等算法它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。- BP neural network algorithm improved its higher learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, s
Time-series-P-GA-P-BP--optimization
- 分别比较了时间序列算法，BP以及GA改进的BP预测算法的结果，并组合二者，对预测结果进行了比较-Compared the time series algorithm, the results improved BP BP and GA prediction algorithm, and a combination of both, to predict the results were compared
NN
- 改进过的BP算法，有dropout,和weight decay项，可以设置三种激活函数。可以用来分类。-BP had improved algorithm, dropout, and weight decay term, you can set three activation functions. It can be used for classification.