{"_buckets": {"deposit": "4c31f59d-2ed2-4c6c-b6c9-5d6de6b2261b"}, "_deposit": {"created_by": 73, "id": "6801", "owner": "73", "owners": [73], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "6801"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00006801", "sets": ["user-miit"]}, "communities": ["miit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "This paper describes a framework for recognizing the handwritten Myanmar digits and characters with the help of multilayer feedforward neural network by using backpropagation algorithm. Supervised learning is used in this system. First the network is trained with several handwritings form of Myanmar digits and characters from various person and then recognized the tested new handwritings of those Myanmar digits and characters. Matlab programming language is used to implement this system."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Multilayer Feedforward Neural Network, Backpropagation Algorithm, Handwritten"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-12-14"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Framework of Handwritten Myanmar Digits and Characters Recognition.pdf", "filesize": [{"value": "496 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 496000.0, "url": {"url": "https://meral.edu.mm/record/6801/files/Framework of Handwritten Myanmar Digits and Characters Recognition.pdf"}, "version_id": "2c4cba88-5aa1-43bb-9dc9-25086d0e80cd"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "AICT", "subitem_c_date": "18/9/2008", "subitem_conference_title": "1st Conference on Applied Information and Communication Technology", "subitem_place": "UCSM"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Hlaing May Tin"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2008-09-18"}, "item_title": "A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network", "item_type_id": "21", "owner": "73", "path": ["1597397243367"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000006801", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2008-09-18"}, "publish_date": "2008-09-18", "publish_status": "0", "recid": "6801", "relation": {}, "relation_version_is_last": true, "title": ["A Framework of Handwritten Myanmar Digits and Characters Recognition by Using Backpropagation Neural Network"], "weko_shared_id": -1}