Neural network principal component using adaptive principal component extractor (APEX)
Ahmed Haider Ali · 2004
The neural networks principal component analysis (NNPCA) can be a very useful tool in the analysis of data with very large temporal dimensionality. Considerable computer resources (computer memory and CPU-time) could be saved when processing a large data matrix. The neural network principal component analysis (NNPCA) is reviewed and an application to simulated climate data is introduced.