{"_buckets": {"deposit": "14d936bc-a945-4f5b-b5a4-e66edf6de99d"}, "_deposit": {"id": "3264", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3264"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3264", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Classification Analysis using Back Propagation Neural Network and Radial Basis Function Neural Network", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Neural networks are a very popular datamining, classification and image processingtool.The fundamental concept of neural networksis the structure of the information processingsystem composed of a large number of highlyinterconnected processing elements or neurons. Inthis paper, thepropertiesof the two typeof neuralnetworks: back propagation (BP) neural networkand radial basis function (RBF) neural network,are analyzed and compared based on mean squareerror, accuracy and nature of datasets. The fourdatasets (breast cancer, car, iris, wine) are usedfrom UCI machine learning repository."}]}, "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", "download_preview_message": "", "file_order": 0, "filename": "162_PDFsam_PSC_final proof.pdf", "filesize": [{"value": "137 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 137000.0, "url": {"url": "https://meral.edu.mm/record/3264/files/162_PDFsam_PSC_final proof.pdf"}, "version_id": "7ff59d0b-01eb-4a04-a33f-52038f332503"}]}, "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": "Lab, Ya Min Su"}, {"subitem_authors_fullname": "Phyu, Sabai"}]}]}, "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/123456789/1031"}, "item_title": "Classification Analysis using Back Propagation Neural Network and Radial Basis Function Neural Network", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003264", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-19"}, "publish_date": "2019-07-19", "publish_status": "0", "recid": "3264", "relation": {}, "relation_version_is_last": true, "title": ["Classification Analysis using Back Propagation Neural Network and Radial Basis Function Neural Network"], "weko_shared_id": -1}