{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T20:19:22Z","timestamp":1740169162839,"version":"3.37.3"},"reference-count":52,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000005","name":"U.S. Department of Defense","doi-asserted-by":"publisher","award":["911NF1910482"],"award-info":[{"award-number":["911NF1910482"]}],"id":[{"id":"10.13039\/100000005","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Arkansas Research Alliances"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2019]]},"DOI":"10.1109\/access.2019.2954795","type":"journal-article","created":{"date-parts":[[2019,11,20]],"date-time":"2019-11-20T16:02:29Z","timestamp":1574265749000},"page":"178331-178341","source":"Crossref","is-referenced-by-count":8,"title":["An Evolutionary Approach to Compact DAG Neural Network Optimization"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5152-2883","authenticated-orcid":false,"given":"Carter","family":"Chiu","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5458-8282","authenticated-orcid":false,"given":"Justin","family":"Zhan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2943446"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0042-7"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2726078"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2735378"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2771448"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2016.2628725"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0061-4"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-017-0076-5"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-017-0095-2"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2702281"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0198066"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2837660"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2797048"},{"key":"ref2","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Int Conf Mach Learn (ICML)"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1038\/35016072","article-title":"Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit","volume":"405","author":"hahnloser","year":"2000","journal-title":"Nature"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1162\/106365601750190398"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014780"},{"key":"ref21","first-page":"1","article-title":"Evolving deep neural networks","volume":"abs 1703 548","author":"miikkulainen","year":"2017","journal-title":"CoRR"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2017.2774288"},{"key":"ref23","article-title":"A unified approximation framework for deep neural networks","author":"ma","year":"2018","journal-title":"arXiv 1807 10119"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2845876"},{"key":"ref25","first-page":"1","article-title":"Universal deep neural network compression","volume":"abs 1802 2271","author":"choi","year":"2018","journal-title":"CoRR"},{"article-title":"Extending and benchmarking cascade-correlation: Extensions to the cascade-correlation architecture and benchmarking of feed-forward supervised artificial neural networks","year":"1997","author":"waugh","key":"ref50"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2009.05.016"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/0002-9149(89)90524-9"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.08-06-316"},{"key":"ref11","first-page":"4074","article-title":"Dynamic optimization of neural network structures using probabilistic modeling","volume":"abs 1801 7650","author":"shirakawa","year":"2018","journal-title":"CoRR"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0223-2"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00907"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.144"},{"key":"ref14","first-page":"1","article-title":"DAG-recurrent neural networks for scene labeling","volume":"abs 1509 552","author":"shuai","year":"2015","journal-title":"CoRR"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1162\/106365602320169811"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178918"},{"journal-title":"Handbook of Genetic Algorithms","year":"1991","author":"davis","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1162\/106365603321828970"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-003-0330-y"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref3","first-page":"1","article-title":"Searching for activation functions","volume":"abs 1710 5941","author":"ramachandran","year":"2017","journal-title":"CoRR"},{"key":"ref6","first-page":"2343","article-title":"When and why are deep networks better than shallow ones?","author":"mhaskar","year":"2017","journal-title":"Proc AAAI Conf Artif Intell"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s10955-017-1836-5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/72.641466"},{"key":"ref7","first-page":"55-1","article-title":"Neural architecture search: A survey","volume":"20","author":"elsken","year":"2019","journal-title":"J Mach Learn Res"},{"key":"ref49","first-page":"62","article-title":"The population biology of abalone (Haliotis species) in tasmania. 1, blacklip abalone (H. RUBRA) from the north coast and the islands of bass strait","author":"nash","year":"1994","journal-title":"Proc CIPS Conf"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2014.6891662"},{"key":"ref46","first-page":"1","article-title":"Medical diagnosis on Pima Indian diabetes using general regression neural networks","author":"kayaer","year":"2003","journal-title":"Proc Artif Neural Netw Neural Inf Process"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2015.05.030"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.snb.2007.09.060"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/AIKE.2019.00029"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/IRI.2019.00054"},{"key":"ref44","first-page":"1","article-title":"Machine learning models for paraphrase identification and its applications on plagiarism detection","author":"hunt","year":"2019","journal-title":"Proc IEEE Int Conf Big Knowl"},{"key":"ref43","first-page":"1","article-title":"Highly parallel seedless random number generation from arbitrary thread schedule reconstruction","author":"aguilar","year":"2019","journal-title":"Proc IEEE Int Conf Big Knowl"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8600701\/08907813.pdf?arnumber=8907813","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:31:49Z","timestamp":1641987109000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8907813\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/access.2019.2954795","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2019]]}}}