SELECTION OF THE OPTIMAL STRUCTURE OF HIDDEN LAYERS OF THE ARTIFICIAL NEURAL NETWORK FOR ENERGY EFFICIENCY ANALYSIS
A method for optimal structure selection of hidden layers of the artificial neural network (ANN) is proposed. Its main idea is the practical application of several internal structures of ANN and further calculation of the error of each hidden layer structure using identical data sets for ANN training. The method is based on the alternate comparison of the expected result values and the actual results of the feedforward artificial neural networks with a different number of inner layers and a different number of neurons on each layer.