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a-novel-svm-knn-pso-ensemble-method-for-intrusion-detection-system-

abc_svm

Clinical Health Analysis CA

algorithm-learning

Try to learn some classical algorithm and achieve them buy python

arma-garch-model

A stock price prediction model based on ARMA and GARCH

artificial-bee-colony

A python implementation of clustering optimization using the Artificial Bee Colony algorithm

artificial_bee_colony_optimization_for_dynamic_community_detection

china_stock_announcement

该项目通过scrapy爬虫从巨潮网络的服务器获取**股市的公告

cs-cuckoo-search-algorithm

An example: Optimization the parameters c and g of SVMb buy CS

diebold-mariano-test

This is the codes for Diebold-Mariano test based on Python

equity-portfolio-prediction

frauddetection

Accounting Fraud Detection Using Machine Learning

garchmidas

R package for GARCH-MIDAS

hive

Artificial Bee Colony Algorithm in Python.

hybrid-feature-selction-method-with-classification-method

To predict the accuracy of Employee attrition with most domination factor affects the employee to leave the organization. To acquire this used Hybrid Artificial Bee colony combining with Support vector machine which gave accuracy with the affected variable.

iabc

IABC algorithm in matlab

iabc-kmc

improve algorithm base on Kmeans and Artifical Bee Colony

jieba

结巴中文分词

machine-learning

neural-garch-hybrid-model-implementation

By combining GARCH(1,1) and LSTM model implementing predictions.

nntimeseries

pareto-based-arti-cial-bee-colony-optimization-algorithm-for-multi-objective-land-use-allocation

Reference to A Knowledge-Informed and Pareto-Based Artificial Bee Colony Optimization Algorithm for Multi-Objective Land-Use Allocation (Lina Yang 1,2, Axing Zhu, Jing Shao and Tianhe Chi)

pso

optimizing the function by the algorithm of PSO

pso-based-weighted-ensemble

This is the Matlab implementation of my paper” A PSO-based Weighting Method to Enhance Machine Learning Techniques for Cooperative Spectrum Sensing in CR Networks”

weighted-cost-based-sae

训练一个SAE：预训练AE阶段，对每个输入神经元与输出神经元间的欧式距离进行加权作为cost function；微调SAE阶段用BP。而加权权重的选择，用PSO进行优化。