Explore MATLAB source code curated for "ELM算法" with clean implementations, documentation, and examples.
The ELM algorithm for neural networks demonstrates faster performance than traditional BP and SVM methods while maintaining high accuracy. Implemented in MATLAB, this version includes modifications to support diverse functions and automatically generates classification matrices during data processing. The implementation features optimized matrix operations for hidden layer computation and efficient weight calculation algorithms.
My improved MATLAB implementation of Extreme Learning Machine (ELM) neural network algorithm demonstrates significantly faster computational speed when using more than 3 neurons. The key enhancement utilizes function-based column matrix generation techniques. ELM is fundamentally a rapid neural network algorithm, and through comparative testing, I've verified it outperforms many popular algorithms (BP, SVM) in both speed and effectiveness. This implementation runs in MATLAB environment and supports testing with all benchmark datasets.