{"created":"2023-05-15T12:08:59.720563+00:00","id":14476,"links":{},"metadata":{"_buckets":{"deposit":"b69150ea-ac24-4cf2-9287-15e403fb78cd"},"_deposit":{"created_by":19,"id":"14476","owners":[19],"pid":{"revision_id":0,"type":"depid","value":"14476"},"status":"published"},"_oai":{"id":"oai:iwate-u.repo.nii.ac.jp:00014476","sets":["1523:1670"]},"author_link":["75922","75940","75941"],"item_20_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2016-11-27","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"58","bibliographicPageStart":"57","bibliographic_titles":[{"bibliographic_title":"The 34th JSTE Tohoku Section Cooference, Iwate University"}]}]},"item_20_date_6":{"attribute_name":"登録日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2017-12-22"}]},"item_20_description_12":{"attribute_name":"Abstract","attribute_value_mlt":[{"subitem_description":"A chaos neural network (B-6nn) which generates three independent subseries has been implemented. The sub-series afford different chaos orbits, respectively. The results of NIST SP800-22 tests also have been fine, if pseudo-random numbers are extracted from the lower-24-bit of an output in B-6nn. The whole period of outputs of B-6nn has been estimated ca. 1.58×10 22. Compared with the whole period of the conventional chaos neural network (C-4nn) which consists of 4 neurons 10 16-10 18, the whole period of B-6nn has considerably improved. The method will be applied to multi-subseries more than three subseries in future work.","subitem_description_type":"Other"}]},"item_20_text_4":{"attribute_name":"著者(機関)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Education, Iwate University"}]},"item_20_version_type_27":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"YOSHIDA, Hitoaki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"SASAKI, Mitsuaki"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"MURAKAMI, Takeshi"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-12-22"}],"displaytype":"detail","filename":"Proceedings-of-34th JSTETSC-p57-58.pdf","filesize":[{"value":"247.5 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"Proceedings-of-34th JSTETSC-p57-58","url":"https://iwate-u.repo.nii.ac.jp/record/14476/files/Proceedings-of-34th JSTETSC-p57-58.pdf"},"version_id":"c5cb0fc2-5fad-43b5-af26-d2d2bcc4340d"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"chaos","subitem_subject_scheme":"Other"},{"subitem_subject":"neural network","subitem_subject_scheme":"Other"},{"subitem_subject":"multi-subseries","subitem_subject_scheme":"Other"},{"subitem_subject":"pseudo random number","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Implementation of Chaos Neural Network which Generates Multi-Subseries with Different Periods","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Implementation of Chaos Neural Network which Generates Multi-Subseries with Different Periods"}]},"item_type_id":"20","owner":"19","path":["1670"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-12-22"},"publish_date":"2017-12-22","publish_status":"0","recid":"14476","relation_version_is_last":true,"title":["Implementation of Chaos Neural Network which Generates Multi-Subseries with Different Periods"],"weko_creator_id":"19","weko_shared_id":19},"updated":"2023-05-16T10:56:25.857805+00:00"}