Gaussian Gas Dispersion Model with Concentration Simulation
Simulating gas dispersion using the Gaussian gas dispersion model to predict diffusion area and concentration distribution through algorithmic implementation.
A Multi-Target Tracking Algorithm for Three Moving Objects
An online-implemented multi-target tracking algorithm for three moving objects utilizing Kalman filter prediction, demonstrating satisfactory performance with practical code implementation insights.
LSSVM Source Code for Modeling and Prediction
This LSSVM source code provides an excellent toolkit for modeling and prediction tasks, featuring remarkable convenience, simplicity, and practical implementation with well-structured code organization
Markov Chain MATLAB Code for Telephone User Arrears Prediction
This MATLAB implementation demonstrates telephone user arrears prediction using Markov chain algorithms, featuring comprehensive code commenting for each functional block to facilitate understanding of state transitions and probability calculations.
Neural Networks in Finance: Achieving Predictive Advantage with Complete Source Code
Complete source code implementation for Neural Networks in Finance. Includes modules for prediction and estimation, time series analysis, dimensionality reduction, and classification using neural networks. Each component features detailed algorithm explanations and practical financial applications.
Common Methods for Chaotic Time Series Analysis and Prediction
This toolbox encompasses common approaches for chaotic time series analysis and prediction, featuring implementations for generating chaotic time series through various attractor models: - Logistic Map (ChaosAttractorsMain_Logistic.m) - Simulates population growth dynamics using iterative equations - Henon Map (ChaosAttractorsMain_Henon.m) - Models two-dimensional chaotic system with quadratic nonlinearity - Lorenz Attractor (ChaosAttractorsMain_Lorenz.m) - Solves three differential equations for atmospheric convection patterns - Duffing Attractor (ChaosAttractorsMain_Duffing.m) - Implements nonlinear oscillator with periodic forcing - Duffing2 Attractor (ChaosAttractorsMain_Duffing2.m) - Extended Duffing system variant
MATLAB Implementation of RBF Prediction Function
RBF prediction function demonstrating excellent approximation capabilities with high precision for time series forecasting and pattern recognition applications
Wind Power Forecasting Using Historical Data for Future Time Periods
This project utilizes historical wind power data to forecast future power values through MATLAB programming and Excel data processing. It implements neural network simulation prediction, gray prediction, and time series forecasting methods to identify patterns in historical data for wind power prediction. The forecasted results undergo error analysis and benchmarking against established standards to evaluate prediction reliability, with detailed algorithmic implementations in MATLAB for each method.
Prediction of Chaotic Time Series
MATLAB program implementation for chaotic time series prediction with algorithm enhancements
MATLAB Simulation Module for Differential Pulse Code Modulation (DPCM) - Full Implementation of Sampling, Quantization, Prediction, Encoding and Decoding
Complete MATLAB simulation module for Differential Pulse Code Modulation (DPCM) featuring signal sampling, quantization, prediction, encoding, and decoding processes. The implementation includes adaptive quantization algorithms and predictive coding techniques. Available for free download - personally developed with educational applications in mind.