This paper deals with the simultaneous states and parameters estimation of an ozonation reactor using a dynamic neural network and the least squares method. We use a dynamic model derived from mass balance considerations. We propose a continuous time algorithm which includes two parallel procedures: state estimation using a Dynamic Neural Network (DNN) and parameters identification based on Lea...

This project will analyze and test the accuracy of dynamic typing pattern authentication methods. The program will generate a dynamic set of text that the user will be prompted to type, and then it will feed the user’s typing characteristics through neural network structures. Experimentation will be done to determine the most accurate neural network structures and data collection conditions. Th...

infiltration rate is one of the most important soil physical parameters and is a basic input data in irrigation and drainage projects. although, a number of theoretical or experimental based equations are presented to describe this phenomenon but the evaluation of some new sciences such as artificial neural networks, for prediction of the phenomenon can be investigated. generally, the infiltrat...

in this study the wavelet neural network (wnn) and artificial neural network (ann) were used to simulate barley breakage percentage in combine harvester. the models have been trained using the same data conditions. air temperature, thresher cylinder speed, distance between thresher cylinder and concave (back and forth) and the percentage of barely moisture were as the input variables. the resul...