Distribution Network Power Flow Calculation Program
Source code for distribution network power flow analysis - ready to run with customizable input data and comprehensive algorithm implementation
MATLAB Decision Trees: Implementation and Applications
MATLAB decision tree implementation - input your data and variable names to generate comprehensive decision tree results including model construction, visualization, and predictive analysis capabilities.
Simulation of BCJR Decoder Process
This MATLAB implementation simulates the BCJR decoder process for decoding input data s from communication channels, featuring algorithm visualization and performance analysis capabilities.
Schematic Diagram of Water-Filling Power Algorithm with Code Implementation
This resource provides a comprehensive schematic diagram of the water-filling power algorithm, accompanied by complete source code, simulation results, and detailed input data specifications for frequency control applications in power systems.
Algorithm Implementation for Multifractal Spectrum
MATLAB implementation of multifractal spectrum algorithm with empty input data structure - users are required to provide their own dataset according to specific application scenarios
DBSCAN Clustering Implementation
This file contains a DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering code that helps you perform density-based data clustering. The implementation requires three input parameters: your dataset (feature matrix), the minimum number of points required to form a dense region (minPts), and the neighborhood search radius (epsilon). The algorithm automatically identifies core points, border points, and noise points while handling clusters of arbitrary shapes.
PCA Dimensionality Reduction Input Data and Options
PCA dimensionality reduction implementation for pattern recognition, focusing on input data structure and parameter configuration. The data parameter accepts a matrix where each row represents a sample, while the option parameter specifies the target dimensionality for reduction.
Gradient-Based RBF Neural Network Implementation
An RBF neural network program implemented using gradient descent method, designed for approximating and fitting input data patterns with optimization capabilities.
Wind Speed Prediction Using Artificial Neural Networks with Multi-Factor Input Data
Implementation of ANN-based wind speed forecasting model incorporating meteorological parameters like temperature, humidity and air pressure, featuring accuracy analysis and practical application evaluation
Multi-class Classification Using Support Vector Machines
Input training dataset with labels and testing dataset with labels, output the classification accuracy rate on the test set