Jordan Badev and Ivan Maslinkov Engineering Faculty of the University of Food Technologies bul. Mariza 26, Plovdiv, 4000 Bulgaria., Ivan Maslinkov, D-r, Ass. Prof. in the Engineering Faculty of the University of Food Technologies, bul. Mariza 26, Plovdiv, 4000, Bulgaria
Abstract: In this research we have studied the implementation of Artificial Neural Network in dynamic price modelling. We have addressed the process of denoting and case modelling for varied equations. We have given importance to model specification and how this can be transformed to ANN training where the experimental results of the physical models are used.
Keywords: Dynamic Processes Modelling, Artificial Neural Networks, Recursive Perceptron, Discrete AR Models Case Modelling for Artificial Neural Networks
[1] Hornik, K., Stinchcombe, M., H.M. & White (1988). Multilayer Feedforward Networks Are Universal Approximators (Discussion Paper 88-45). Department of Economics, University of California: San Diego, USA. [2] Haykin, S. (1999). Neural Networks (Sec.Edition). Prentice Hall, Pearson Education: Englewood Cliffs, USA.
