Time series forecasting with Qubit Neural Networks
Carlos R. B. Azevedo, Tiago A. E. Ferreira · International Conference on Artificial Intelligence and Soft Computing · 2007
This paper proposes a quantum learning scheme approach for time series forecasting, through the application of the new non-standard Qubit Neural Network (QNN) model. The QNN description was adapted in this work in order to resemble classical Artificial Neural Networks (ANNs). Three stock market series were predicted. The results are discussed over several statistics and are compared with ANNs experiments with equivalent degrees of freedom.