搜索资源列表
ann_and_ga_soft
- 用神经网络和遗传算法解决tsp问题，先使用神经网络训练出较优个体，然后再进化，可以反其道而行，-using neural networks and genetic algorithms to solve the problem tsp first use of neural network training of better individual, then evolution can be just the opposite.
stock_market_forecasting
- A fusion model of HMM, ANN and GA for stock market forecasting.pdf 股票预测，使用方法：HMM，ANN（神经网络），GA（遗传算法）等！
GABPMATLAB
- 利用遗传算法优化BP神经网络权值和阈值，然后进行训练，利用训练好的模型进行预估。附实例-The use of genetic algorithm to optimize BP neural network weights and thresholds, and then training, training a good use of forecast models. Attached examples
AOA-algorithm-on-neural-network
- 基于几何结构的单次反射统计信道模型, 提出了基于RBF神经网络的AOA 定位算法-AOA location algorithm based on RBF neural network based on the geometric structure of a single reflection statistical channel model,
BP
- 用BP神经网络实现的第三代移动通信CDMA多用户检测算法-Using BP neural network to achieve the third generation of mobile communication CDMA multiuser detection algorithm
GAbp
- 遗传神经网络的模式识别算法,可以用于设备的故障诊断-Genetic neural network pattern recognition algorithm, can be used for equipment fault diagnosis
cppStockBP
- 使用C++的基于神经网络（BP）算法的股票预测程序-The use of C++ s Based on neural network (BP) algorithm stock forecasting process
LmNet_PF
- LmNet PF 神经网络预测平台是公司基于最优神经网络算法(Levenberg-Marquardt动量项法)开发的通用预测平台工具。它是针对用户进行预测需要，快速构建神经网络应用的通用预测平台，它能解决包括销售量预测、销售价格预测、成本预测、市场潜力预测、新产品价格预测等方面的预测分析。功能包括：新建、修改网络模型；网络训练；网络仿真；误差分析；专家样本数据自动生成；节点配置；数据归一化处理；网络参数初始化设置等。~..~ -Neural Network Prediction LmNet
loadflow56
- 高级应用算法实例\可用于电力系统短期负荷预测的RBF神经网络程序。-Advanced algorithm instance \ RBF neural network program can be used for short-term load forecasting of power system.
BpNet_src
- 材料力学分析用BP神经网络，使用改良的神经网络算法-BP Net for mechanics of materials
PSO1
- 基于pso算法的matlab编程程序，用于神经网络控制的编程-Pso algorithm matlab programming procedures for neural network control programming
RBF
- RSF神经网络算法建立转炉炼钢数据模型，输出三个图形-RSF neural network algorithm for establishing converter steelmaking data model, the output of three graphs
erjie
- 针对目前自动称重配料系统中采用传统PID控制的不足、系统误差不稳定、动态特性不理想，提出了一种基于神经网络PID控制的算法。该系统传递函数为 ,本文设计BP神经网络为三层，输入层4个节点,隐层为5个节点，输出层为3个节点。-For automatic weighing batching system currently used in traditional PID control deficiencies, systematic errors unstable dynamics is not
kalman
- 利用kalman滤波进行股票预测，并与灰色预测，及神经网络算法的预测结果进行比较。-Use kalman filter for stock forecasting, and with gray prediction, and neural network algorithm to predict the results were compared.
code for homework3
- 本项目使用python自行实现了一遍BP算法，并大家一个三层的简易神经网络模型。供初学者使用。(This project uses Python to implement the BP algorithm once more, and we have a simple neural network model of three layers. For beginners to use.)
Elman神经网络的数据预测
- 一个短时的电力流量预测，Elman算法与神经网络结合的实例(A short time traffic flow prediction, an example of the combination of Elman algorithm and neural network)
思维进化算法优化BP神经网络——非线性函数拟合
- BP神经网络的数据分类——语音特征信号分类，matlab(Data classification of BP neural network -- speech feature signal classification)
_基于智能算法的股票价值估计研究
- 基于主成分分析和神经网络算法的股票行情预测(Stock market forecast based on principal component analysis and neural network algorithm)
_基于神经网络和遗传算法的金融数据分析方法研究
- 基于智能算法的股票分析,采用遗传算法优化神经网络(Based on the stock analysis of intelligent algorithm, the neural network is optimized by genetic algorithm)
3 BP神经网络预测汽油浓度
- BP神经网络预测汽油浓度，神经网络，MATLAB(BP neural network prediction of gasoline concentration, neural network, matlab)