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delm

DELM is a data stream classification algorithm based on extreme learning machine

denoising-autoencoder

denoising-neural-network

This filder contains most important works that i have made with deoinsing Autoencoders.

dff

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

dmpj

新能源汽车充电能量预测：模型+可视化

ecgn

Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles (model stacking), transfer learning.

eemd-lstm-model

基于深度学习的溶解氧时间序列预测模型

elite-opposition-based-golden-sine-whale-optimization-algorithm

肖子雅, 刘升. 精英反向黄金正弦鲸鱼算法及其工程优化研究[J]. 电子学报, 2019, 47(10): 2177-2186.

elm_pso

elman_predict_rczc

encoder2predict

利用Encoder对二分类任务的序列数据进行概率预测

enhanced-whale-optimization-algorithm

Qais, M. H., Hasanien, H. M., & Alghuwainem, S. (2019). Enhanced whale optimization algorithm for maximum power point tracking of variable-speed wind generators. Applied Soft Computing, 105937. doi:10.1016/j.asoc.2019.105937

facial_expression_recognition_fer2013

Images and Videos, Real-time Facial Expession Recognition Application with Combine CNN , deep learning features extraction incorporate SIFT, FAST feature .

fail-improved-whale-optimization-algorithm

Ling, Y., Zhou, Y., & Luo, Q. (2017). Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization. IEEE Access, 5, 6168–6186. doi:10.1109/access.2017.2695498

fall-detection-and-predction-using-gru-and-lstm-with-transfer-learning

Fall Detection and Prediction using GRU and LSTM with Transfer Learning

feature-extraction

An example of extracting image features from VGG network on Caffe

feature_selection

Feature selection methods using optimization algroithms

featureextraction

Using keras to extract features for a set of images from the Inception model.

fingerveinrecognitionmodel2

A Fingervein Recognition Model Based On Lbp + Dbn;基于降维LBP与深度信念网络的指静脉识别模型

fire_detection_opencv

fire detection for recognition of colors and shape of flame, using opencv in python

fire_recognition

Implementation of LACCI 2019 paper: a Lightweight and efficient octave convolutional neural network for fire recognition

fruit_recognition

这个是水果识别的MATLAB程序,包含HSV非均匀量化,K均值聚类,LBP算子,MBLBP算子,还有粒子群,灰度共生矩阵,以及纹理特征提取.

futures-forecast-pso-svm

利用PSO优化的SVM进行期货预测

fwa-dbn-elm-for-intelligent-fault-diagnosis

FWA-DBN-ELM fault diagnosis 故障诊断 烟花算法优化DBN-ELM的故障诊断

fyp-rus_gwo_pso_machine_learning

My FYP for Master of Data Science, UiTM

ga_bp

a back propagation neural network with genetic algorithm

ga_elm

Extreme Learning Machine (Neural Network) with Regularization Parameters optimized by a Genetic Algorithm. For my "Natural Computing" Class.

gabor-svm-lesion-classification

首先对病灶图片进行gabor小波纹理特征提取，然后输入进经PSO优化的svm进行训练与测试分类

glcm-dem

基于灰度共生矩阵（GLCM）提取数字高程模型（DEM）的纹理特征。