搜索资源列表
improved-BP-Network-
- 改进的神经BP网络 改进的神经BP网络 改进的神经BP网络-improved BP Network improved BP Networkimproved BP Network improved BP Network
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)
double-bp
- 自己做的双输出BP神经网络，参考过大神作品，自己改进，嵌入了excel读取功能-Do their own dual output BP neural network, reference works great God, their improvement, embedded excel read function
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
bp-neural-network
- 关于改进BP神经网络算法的应用文章。指出了BP算法的几个缺陷，提出了改进方向并结合工程数据来检验改进算法-BP neural network algorithm for improving the application of the article. Pointed out several flaws BP algorithm is proposed to improve the direction and with engineering data to test the improved
GA-BP
- GA—BP运用GA对BP神经网络进行训练，取得的最优解作为初始链接权值和阈值，以对BP神经网络局部搜索能力强、全局搜索能力差的缺点进行改进，来达到提高BP神经网络的性能的目的。-GA GA-BP using BP neural network is trained to obtain the optimal solution as the initial link weights and thresholds of BP neural network of local search abilit
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.
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
BP
- 改进后的BP神经网络，可以用于模型的优化和预测-The improved BP neural network can be used for optimization and prediction models
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
BP-neural-network-model
- 研究并分析了B P神经网络的结构和特点，针对不足之处提出改进方法。在改进的基础 上建立神经网络软件可靠性新模型。通过MATL AB仿真工具进行了实例仿真，证实该新模型比传统 模型预测精度高，泛化能力强-Research and analysis of the structure and characteristics of BP neural network, an improved method for the shortcomings. In the modified base
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）。
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
BP
- 本文结合遗传算法对BP算法进行优化，建立了改进的BP神经网络模型。最后，充分利用MATLAB语言的各自优势，进行编程-In this paper, the genetic algorithm to optimize BP algorithm, establish an improved BP neural network model. Finally, make full use of their respective advantages MATLAB language programming
BP
- 通过分析交通流量时间序列的特点，引入BP神经网络进行短时交通流预测。首先，分析了短时交通流量预测的意义及研究背景；然后，介绍了BP神经网络的结构模型、学习规则以及BP算法的改进算法；最后，通过BP神经网络对短时交通流进行预测，并分析了在各种不同条件下的预测情况。-through the analysis of the characteristics of traffic flow time series, introduces BP neural network for short-term t
BP-algorithm
- 此文件夹为用Matlab开发环境的BP神经网络，包括对bp算法的改进。-this code is for BP Algrithm and its imprivement.you can using this demo in the Matlab environment.
BP
- MATLAB 实现的BP神经网络，没有使用newff函数，自行编写的程序，还有多种改进算法。-MATLAB BP neural network, there is no use newff function, its own written procedures, there are many kinds of improved algorithm.