{"created":"2020-09-01T09:51:16.707094+00:00","id":3259,"links":{},"metadata":{"_buckets":{"deposit":"d4129834-482b-4b03-b93a-646c8b1ccfbc"},"_deposit":{"id":"3259","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3259"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3259","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Comparison of Radial Basis Function and Multilayer Perceptron upon Mushroom Classification","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"This paper proposes two types of artificialneural networks to classify the mushroom in orderto compare the performances of two networks;radial basis function and multilayer perceptron.Mushrooms are inexpensive and available yearround.All forms of mushrooms, dried, canned,frozen or fresh, are healthy. Certainly mushroomfield guides that edible ones and avoid thepoisonous ones, but often mushrooms are hard toclassify. By using mushroom datasets, RBF (radialbasis function) and MLP (multilayer perceptron)will classify the input features of mushroom intotwo classes of edible and poisonous. In thissystem, mushrooms datasets from UCI(Universityof California) Machine learning repository. Eachmushroom instance consists of seven features thatrepresent the input layer to the neural network.RBF and MLP are compared with training timeand accuracy. This system was implemented basedon java programming language."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-19"}],"displaytype":"preview","filename":"158_PDFsam_PSC_final proof.pdf","filesize":[{"value":"137 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3259/files/158_PDFsam_PSC_final proof.pdf"},"version_id":"7c15859f-8a37-4a50-9a28-b33e0070a87f"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Eighth Local Conference on Parallel and Soft Computing","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Soe, Thaw Thaw"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2017-12-27"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/1027"},"item_title":"Comparison of Radial Basis Function and Multilayer Perceptron upon Mushroom Classification","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-19","publish_status":"0","recid":"3259","relation_version_is_last":true,"title":["Comparison of Radial Basis Function and Multilayer Perceptron upon Mushroom Classification"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T05:48:02.254264+00:00"}