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dc.contributor.author | Bessenyei, Kornél | es_ES |
dc.contributor.author | Kurják, Zoltán | es_ES |
dc.contributor.author | Beke, János | es_ES |
dc.date.accessioned | 2019-02-13T07:47:26Z | |
dc.date.available | 2019-02-13T07:47:26Z | |
dc.date.issued | 2018-09-07 | |
dc.identifier.isbn | 9788490486887 | |
dc.identifier.uri | http://hdl.handle.net/10251/116662 | |
dc.description.abstract | [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. | es_ES |
dc.format.extent | 8 | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editorial Universitat Politècnica de València | es_ES |
dc.relation.ispartof | IDS 2018. 21st International Drying Symposium Proceedings | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Drying | es_ES |
dc.subject | Dehydration | es_ES |
dc.subject | Dewatering | es_ES |
dc.subject | Emerging technologies | es_ES |
dc.subject | Products quality | es_ES |
dc.subject | Process control | es_ES |
dc.subject | Environmental | es_ES |
dc.subject | Evaporation | es_ES |
dc.subject | Sublimation | es_ES |
dc.subject | Diffusion | es_ES |
dc.subject | Energy | es_ES |
dc.subject | Intensification | es_ES |
dc.subject | Energetics | es_ES |
dc.subject | Artificial neural network | es_ES |
dc.subject | Semi-empirical model | es_ES |
dc.title | Semi empirical models for drying of agricultural products by used structured artificial neural network | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.identifier.doi | 10.4995/IDS2018.2018.7571 | |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | 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/IDS2018.2018.7571 | es_ES |
dc.description.accrualMethod | OCS | es_ES |
dc.relation.conferencename | 21st International Drying Symposium | es_ES |
dc.relation.conferencedate | Septiembre 11-14, 2018 | es_ES |
dc.relation.conferenceplace | Valencia, Spain | es_ES |
dc.relation.publisherversion | http://ocs.editorial.upv.es/index.php/IDS/ids2018/paper/view/7571 | es_ES |
dc.description.upvformatpinicio | 403 | es_ES |
dc.description.upvformatpfin | 410 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | OCS\7571 | es_ES |