kaerman

本文基于BP神经网络应用于预测的原理，提出预测步骤及预测可行性，探讨建立基于BP神经网络的预测模型的关键技术，包括样本的选取与预处理、输入输出变量的选取、隐层节点数的确定、初始权值和阈值的选取、激活函数、训练算法与参数的选取，最后建立合理的网络模型；结合住宅市场的实际情况，建立两类BP 神经网络预测模型：基于时间序列的趋势预测模型以及基于影响因素的回归预测模型，即分别采用神经网络趋势预测和回归预测的思路，把住宅市场的供给、需求与房价的历年数据以及其影响因素的数据分别作为学习样本，建立预测模型，进行预测。(Real estate development risk prediction )

强化学习源码，挺不错的，分享一下强化学习源码，挺不错的，(Reinforcement learning source, very good, reinforcement learning to share source code, very good,)

指纹core点检测程序3(complex_filter), matlab demo code(fingerprint detection procedures core 3 (complex_filter) Matlab demo code)

Locating series FACTS devices for congestion management in deregulated electricity markets

网络模型的matlab实现(包括随机网络、小世界网络、无标度网络、以及拓扑性质计算程序)(matlab network model implementation (including random networks, small-world network, scale-free networks, and topological properties calculation program))

arma模型预测的matlab代码 很完整 有注释 适合新人(ARMA model prediction matlab code is complete, annotated, suitable for newcomers)

这是对于RS和BCH进行译码的matlab实现(This is for the RS and BCH decoding for the Implementation of Matlab)

MATLAB-stat，this is a programme for matlab

压缩感知，进行图像处理，信号处理可以有效减少信息冗余(Compression sensing, image processing and signal processing can effectively reduce information redundancy)

多用户检测程序，具有很高的研究价值，非常不错(Multi-user detection procedure and has high value, is very good)