资源列表
time-series-analysis-model
- 动态时间序列周期分析预测模型将多层递阶方法与逐步回归周期分析的基本原理相结合，可以对时间序列做较长周期的预测-Dynamic time series cycle analysis of the predictive model using multi-layer hierarchical approach
Analysis-prediction-algorithm
- 使用时间序列进行预测和建模的方法及其在预测公安部数据库中犯罪事件趋 势上的应用 -Time series prediction and modeling method and its application on crime trends in the forecast in the Ministry of Public Security database
ARIMA-model-algorithm
- 。统计预测方法建立在严密 的数学理论基础之上，具有结构简单、预测速度快、方便操作等特点，相对于其 他时序分析预测方法(如:回归分析、神经网络等)更适合实际应用 -. Statistical prediction method is based on a rigorous mathematical basis of the theory with a simple structure, the forecast fast, convenient operation, relative
Prediction-algorithm-analysis
- 本文重点对预测算法及其在基于JZEE构架BS/模式的辅助决策系统中的应用进行了 研究 -This article focuses on the prediction algorithm based decision support system the JZEE framework BS/mode of application
Hacker-intrusion-detection-system
- 本文的目的就是对人工神经网络进行适当的改进，将其应用于网络黑客入侵检测系统中，以提高系统的效率，包括检测速度的提高、减少漏报率和误报率-The purpose of this paper is the appropriate improvement of artificial neural networks, intrusion detection system applied to hackers in order to improve the efficiency of the system
DataMining
- 实现数据挖掘中数据平滑的三种算法，另外还可以结合阈值计算离群点-Three data mining, data smoothing algorithm, also can be combined with a threshold value of outliers
BP_MATLAB
- 神经网络算法，关于bp的matlab实现-Neural network algorithm on bp matlab implementation
BP_CPP
- 关于bp神经网络算法，c语言环境下仿真实现-Bp neural network algorithm, the c language environment simulation
Introduction-to-Data-Mining
- Introduction to Data mining, by Tan, Steinbach and Kumar. This is for original book s slides. Useful.
TS-SA
- 禁忌搜索和模拟退火相结合的算法，解决TSP问题。注：31城市。-Tabu search and simulated annealing to a combination of algorithms to solve TSP. Note: The 31 cities.
ParzenPNN
- 简单的PNN神经网络，里面有demo，运行通过-Simple PNN neural network, which has a demo, run by
Slam2D1
- 概率机器人基于卡尔曼滤波器实现实时定位和地图创建（SLAM）的算法，用matlab编写，涵盖了机器人二维场景。-The simultaneous localization and mapping algorithm based on the Kalman filter. Robot work enviroment is 2D.