syuntai-lh Goto Github PK

short-term-load-forecasting

code for the paper https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9467267

soe

This is the Matlab code for the Switch Opening and Exchange (SOE) method used in paper "Switch Opening and Exchange Method for Stochastic Distribution Network Reconfiguration" that has been accepted by and will be published in IEEE Transactions on Smart Grid.

spikesorting-waveletsvm

A spike sorting algorithm for classifying neuron action potentials using wavelets decomposition and SVM classification

sptwsvm

Sparse Pinball Twin Support Vector Machine

stanford---machine-learning-coursework

Topics - Linear Regression, Logistic Regression, Regularization, Neural Networks, System Design, Support Vector Machines, Unsupervised Learning (k-Means algorithm for clustering), Dimensionality Reduction (principal components analysis), Anomaly Detection, Recommender Systems, Large Scale Machine Learning, and Photo Optical Character Recognition.

support-vector-machine-with-truncated-pinball-loss-for-multi-class-probability-estimation

the code for the paper “ support vector machine with Truncated Pinball loss for Multi-class probability estimation”

support-vector-machines-succinctly

support_vector_machine

This is a naive implementation of a Support Vector Machine, which is a supervised learning based linear classifier used to classify datapoints to their distinct categories based on their labels. The implementation is done in MATLAB, using the Stochastic Gradient Descent algorithm which was trained using labeled datapoints.

svm

Improved Support Vector Machine in MATLAB. Some other functions included as well

svm-1

Support Vector Machine using Sequential Minimal Optimization

svm-electricity_load_forecast

基于日特征气象因素的支持向量机预测电力负荷

svm-experiments

A Novel Clustered Support Vector Machine with Reduced Support Vectors for Big Data Classification

svm-wavelet-forecasting-financial-time-series

This is a repo for forecasting financial series using discrete wavelet transform and Machine Learning technique called Support Vector Machine

svm-wavelet-forecasting-financial-time-series-python-model

Python script the SVR-Wavelet model for financial time series forecasting

timeseriesanalysis_lttr

Use time series models including AR, MA, ARMA, ARIMA, SARIMA, and GARCH to forecast load to truck ratios (LTTR) in the LA area.

tlbci

Matlab source code of the paper "D. Wu, X. Jiang, R. Peng, W. Kong, J. Huang and Z. Zeng, Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline, Information Sciences, 2021, submitted."

top-ai-conferences-paper-with-code

This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

variable-selection-for-regression-using-mixed-integer-quadratic-programming

Non linear programming | Stochastic Control and Optimization

variants-twin-support-vector-machine

voice-biometric

voice biometric using wavelet for feature extraction and svm for data training (coming when its ready)

voltage-regulation-using-svm

This code is the implementation of the following paper: M. Jalali, V. Kekatos, N. Gatsis and D. Deka, "Designing Reactive Power Control Rules for Smart Inverters Using Support Vector Machines," in IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1759-1770, March 2020, doi: 10.1109/TSG.2019.2942850. The main code 1) loads the data. However, the data is not included here. the code should be modified accordingly. 2) Finds the hyperparameters uding cross validation. While the main file includes the optimization using l2 loss function, the functions for l1 oprimization are included here with suffix "2". 3) Solves the volatge regulation optimization problem using the Mosek solver. 4) Solves the volatge regulation problem using the optimal power flow problem and the local control rules as well. The main function includes the following functions: 1) Preprocessing: the scaling, oversizing, centering and normalzing of the data. 2) KFCrossvalid_SVM: finds the hyperparameters using crossvalidation 3) mosek_crossValid (mosek2_crossValid): located inside the KFCrossvalid_SVM which solves theoptimization problem 4) SVM_gauss_mosek and SVM_lin_mosek: solve the ctual optimization problems for finding the parameters a abd b for reative power control rules. 5) localControl: finds the reactive power local control rules 6) eval_SVM_gauss, eval_SVM_lin: evaluates the reactive power control rules given the measurements and obtained parameters 7) optimalGlobal (SOCP): solves the central optimal power flow problem

wave-paper2

This repository contains the MATLAB codes for the time-series prediction using (i) MMSE forecast of ARIMA models (ii) Kalman filter approach (iii)Artificial neural networks. The codes for the wavelet version of the above techniques is also presented here.

wave-series-forecasting-with-wavelets

wavelet-analysis

This repository is built for the more understanding of the wavelets and their transform using MATLAB.

wavelet-epileptic-seizure-eeg-

This repository includes useful MATLAB codes for the detection of epileptic seizure in EEG signals using wavelet analysis and machine learning techniques (MLP, SVM, KNN, and Bayesian)

wavelet-hfcm

This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wavelet Transform'

wavelet-neural-network

WNN implementation for forecasting electricity consumption

wavelet-transform-algorithm

Wavelet Transform (WT) hybrid Artificial Neural Network (ANN). Develop for non-linear models predicition.

waveletkernelsvm

wavelet-kernel-SVM-machine

waveletreconstruction

We try to forecast a time series by reconstructing the serie with the data forecasted over a wavelet space.