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Kaastra, I. and Boyd, M. (1996) Designing a Neural Network for Forecasting Financial and Economic Time Series. Neurocomputing, 10, 215-236.
https://doi.org/10.1016/0925-2312(95)00039-9

has been cited by the following article:

• TITLE: The Computational Theory of Intelligence: Feedback

  AUTHORS: Daniel Kovach

  KEYWORDS: Neural Networks, Feedback, Intelligence, Computation, Artificial Intelligence, Lyapunov Stability

  JOURNAL NAME: International Journal of Modern Nonlinear Theory and Application, Vol.6 No.2, June 14, 2017

  ABSTRACT: In this paper we discuss the applications of feedback to intelligent agents. We show that it adds a momentum component to the learning algorithm. We derive via Lyapunov stability theory the condition necessary in order that the entropy minimization principal of computational intelligence is preserved in the presence of feedback.