ANN Prediction of Nucleotide Sequences Link of Principal Component Analysis to Fourier Transform
Paul Dan Cristea, Rudi Deklerck, Jan P. Cornelis, Rodica Tuduce, Iulian Năstac, Marius Andrei · 2007
The paper presents a flexible artificial neural network (ANN) model, in order to support modifications of a complex input-output function that describes the catalyst monitoring process of a multi-tube reactor. The goal is to obtain a good accuracy of the predicted data by using an optimal ANN architecture and well-suited delay vectors. The research targets the implementation of an adaptive system, which can be periodically retrained, in order to continuously learn the latest evolution of the catalyst process.