{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:10:27Z","timestamp":1730297427594,"version":"3.28.0"},"reference-count":9,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/snpd.2019.8935697","type":"proceedings-article","created":{"date-parts":[[2019,12,19]],"date-time":"2019-12-19T19:36:07Z","timestamp":1576784167000},"page":"297-301","source":"Crossref","is-referenced-by-count":1,"title":["Classifying Three-input Boolean Functions by Neural Networks"],"prefix":"10.1109","author":[{"given":"Naoshi","family":"Sakamoto","sequence":"first","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/4\/4\/020"},{"key":"ref3","article-title":"Learning real and boolean functions: When is deep better than shallow","volume":"abs 1603 988","author":"mhaskar","year":"2016","journal-title":"CBMM Memo"},{"key":"ref6","article-title":"Neural networks — a model of boolean functions","author":"steinbach","year":"2002","journal-title":"Proceedings of 5th International Workshop on Boolean Problems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/4\/10\/020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.42.6210"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref2","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","volume":"9","author":"glorot","year":"2010","journal-title":"Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics ser Proceedings of Machine Learning Research"},{"key":"ref9","first-page":"22","article-title":"On the complexity of neural-network-learned functions","author":"marzban","year":"2017","journal-title":"15th Conference on Artificial Intelligence at the 97th American Meteorological Society Annual Meeting"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02551274"}],"event":{"name":"2019 20th IEEE\/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD)","start":{"date-parts":[[2019,7,8]]},"location":"Toyama, Japan","end":{"date-parts":[[2019,7,11]]}},"container-title":["2019 20th IEEE\/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel\/Distributed Computing (SNPD)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8932629\/8935640\/08935697.pdf?arnumber=8935697","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T10:52:18Z","timestamp":1658141538000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8935697\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":9,"URL":"https:\/\/doi.org\/10.1109\/snpd.2019.8935697","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}