Semi empirical models for drying of agricultural products by used structured artificial neural network

[EN] We compared a semi empirical and an empirical model. The empirical model is a multilayer ANN. The semi empirical model is a custom multilayer ANN. It is a structured model, and we define the structure by hand before the training of the network. The influence of the neuron numbers on the accuracy of the models was also investigated by statistical approach. We found that the custom multilayer ANNs developed like this, are suitable for modelling the drying process of agricultural materials. They also provide the ability to improve the applicability of the empirical models. Furthermore, the semi empirical model has a higher sensitivity on neuron number applied.Bessenyei, K.; Kurják, Z.; Beke, J. (2018). Semi empirical models for drying of agricultural products by used structured artificial neural network. En IDS 2018. 21st International Drying Symposium Proceedings. Editorial Universitat Politècnica de València. 403-410. https://doi.org/10.4995/IDS2018.2018.7571OCS40341

Analysing the Microwave Drying Process of Potato, Apple and Onion Samples from Energetic Point of View

From the practical point of view the efficiency of the energy transfer during drying must be considered as dominant parameter. Although the energy consumption of dehydration under microwave conditions is theoretically lower even by an order of magnitude than that of convective drying, the real efficiency of energy transfer in the microwave field is influenced by numerous factors. In this study, the most determinative relations between the energy transfer efficiency and the drying parameters were investigated. During the experiments several different drying parameters were set up to study the effects of domain variables in the apple, potato and onion drying process. Based on laboratory experiment, we determined the typical energy efficiency factors for microwave drying of the investigated samples. Furthermore, we detected the non-thermal effect of the microwave energy

22q13 microduplication syndrome in siblings with mild clinical phenotype: broadening the clinical and behavioral spectrum

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