MATLAB Implementation of Cloud Model with Practical Examples
Comprehensive MATLAB implementation of cloud models featuring detailed code examples and algorithm explanations
Explore MATLAB source code curated for "云模型" with clean implementations, documentation, and examples.
Comprehensive MATLAB implementation of cloud models featuring detailed code examples and algorithm explanations
Implementation and statistical data analysis of children's height across different regions using cloud model in MATLAB, featuring algorithmic approaches for uncertainty processing and data characterization.
A practical cloud model example designed for prediction and estimation tasks, featuring MATLAB code implementation with detailed algorithmic explanations for beginners
A novel time series forecasting algorithm utilizing cloud models for short-term electricity price prediction, featuring enhanced accuracy through digital cloud characteristic modeling.
An innovative adaptive particle swarm algorithm utilizing cloud model theory, featuring intelligent parameter adaptation and robust optimization capabilities.
Leveraging the cloud model in artificial intelligence, this approach utilizes the forward and backward generation techniques of normal cloud generators to achieve comprehensive floral information extraction and reconstruction
This cloud model-based feature extraction algorithm for flower petals utilizes the reverse normal cloud generator to extract three digital characteristics (expected value, entropy, and hyper-entropy) for each of the four feature parameters across three flower categories from sample point data. The implementation involves statistical analysis of sample distributions and cloud transformation techniques to quantify feature uncertainty.
Comprehensive MATLAB implementation of cloud model generators including basic cloud generator, x-condition cloud generator, and y-condition cloud generator with detailed algorithm descriptions