{"_buckets": {"deposit": "f34c09ff-a6b1-4c7a-a672-12ae46bf9022"}, "_deposit": {"id": "3266", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3266"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3266", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Forecasting for Myanmar Currency Exchange Rates By using Back Propagation Neural Network", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Nowadays, forecasting of exchange ratesplays an important role in internationaleconomics. Additional to basic economic andfinancial news, investors and traders employ intheir decision process technical tools to analyzethe transaction data.In this paper, the system based on neuralnetworks implemented for forecasting MyanmarCurrency exchange ratesusing artificial neuralnetwork. The system uses back-propagationalgorithm to train the exchange rates. Feedforward neural network is used to improve theefficiency of the back-propagation. MultilayerPerceptron (MLP) network is the mainarchitecture. Network architecture parametersespecially number of input and number of hiddenlayers are analyzed.System performance isevaluated in terms of Mean Absolute Error(MAE). Daily historical price data for currencypairs for the last three years are inputted to thesystem. The system is implemented usingprogramming language C#."}]}, "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": "164_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/3266/files/164_PDFsam_PSC_final proof.pdf"}, "version_id": "4f23c396-4be7-460a-a018-ddda2df08801"}]}, "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": "Myint, Aye Nandar"}, {"subitem_authors_fullname": "Khine, May Aye"}, {"subitem_authors_fullname": "Khaing, Myo Kay"}]}]}, "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/123456789/1033"}, "item_title": "Forecasting for Myanmar Currency Exchange Rates By using Back Propagation Neural Network", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003266", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-19"}, "publish_date": "2019-07-19", "publish_status": "0", "recid": "3266", "relation": {}, "relation_version_is_last": true, "title": ["Forecasting for Myanmar Currency Exchange Rates By using Back Propagation Neural Network"], "weko_shared_id": -1}