摘要：Investigation of an optimal topology and parameters of a high performing neural network is a labourintensive process. In this study, the possibility of obtaining the optimal network structure using a script was investigated. For this purpose, making use of a script coded in MATLAB®, all possible networks in the range of investigated network parameters were created and trained. In addition, the networks created with the help of the script were tested and the selected performance parameters (Absolute Average Deviation, Mean Squared Error, and Coefficient of Determination) were calculated. e network model studied was chosen as multilayer perceptron with a feed-forward back propagation algorithm. e investigated parameters of the selected network were number of neurons, training functions, and transfer functions. Additionally, the script was tested on three different data sets. e results indicate that the script can be successfully applied for identification of the network topology and the parameters to be used for the evaluation of the data obtained from kinetic researches.
