{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T22:34:52Z","timestamp":1742942092337,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030975456"},{"type":"electronic","value":"9783030975463"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-030-97546-3_11","type":"book-chapter","created":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T04:41:28Z","timestamp":1647578488000},"page":"129-140","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Deeper Insights into\u00a0Neural Nets with\u00a0Random Weights"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1218-2804","authenticated-orcid":false,"given":"Ming","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5427-4328","authenticated-orcid":false,"given":"Giorgio","family":"Gnecco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0355-8483","authenticated-orcid":false,"given":"Marcello","family":"Sanguineti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,3,19]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/BF02551274","volume":"2","author":"G Cybenko","year":"1989","unstructured":"Cybenko, G.: Approximation by superposition of a sigmoidal function. Math. Control Sig. Syst. 2, 303\u2013314 (1989)","journal-title":"Math. Control Sig. Syst."},{"key":"11_CR2","unstructured":"DasGupta, B., Schnitger, G.: The power of approximation: a comparison of activation functions. In: Advances in Neural Information Processing Systems (NIPS), pp. 615\u2013622 (1992)"},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Fan, J., Udell, M.: Online high rank matrix completion. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8690\u20138698 (2019)","DOI":"10.1109\/CVPR.2019.00889"},{"key":"11_CR4","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.neucom.2014.04.067","volume":"146","author":"AM Fu","year":"2014","unstructured":"Fu, A.M., Wang, X.Z., He, Y.L., Wang, L.S.: A study on residence error of training an extreme learning machine and its application to evolutionary algorithms. Neurocomputing 146, 75\u201382 (2014)","journal-title":"Neurocomputing"},{"key":"11_CR5","doi-asserted-by":"crossref","unstructured":"Gnecco, G.: A comparison between fixed-basis and variable-basis schemes for function approximation and functional optimization. J. Appl. Math. 2012, 17 (2012). Article ID 806945","DOI":"10.1155\/2012\/806945"},{"key":"11_CR6","doi-asserted-by":"publisher","first-page":"1320","DOI":"10.1109\/72.471375","volume":"6","author":"B Igelnik","year":"1995","unstructured":"Igelnik, B., Pao, Y.-H.: Stochastic choice of basis functions in adaptive function approximation and the functional-link net. IEEE Trans. Neural Netw. 6, 1320\u20131329 (1995)","journal-title":"IEEE Trans. Neural Netw."},{"key":"11_CR7","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1016\/S0893-6080(05)80131-5","volume":"6","author":"M Leshno","year":"1993","unstructured":"Leshno, M., Lin, V.Y., Pinkus, A., Schocken, S.: Multilayer feedforward networks with a nonpolynomial activation function can approximate any function. Neural Netw. 6, 861\u2013867 (1993)","journal-title":"Neural Netw."},{"key":"11_CR8","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1016\/j.ins.2016.12.007","volume":"382","author":"M Li","year":"2017","unstructured":"Li, M., Wang, D.: Insights into randomized algorithms for neural networks: practical issues and common pitfalls. Inf. Sci. 382, 170\u2013178 (2017)","journal-title":"Inf. Sci."},{"key":"11_CR9","unstructured":"Piazza, F., Uncini, A., Zenobi, M.: Artificial neural networks with adaptive polynomial activation function. In: Proceedings of the International Joint Conference on Neural Networks (IJCNN), pp. 343\u2013348 (1992)"},{"key":"11_CR10","unstructured":"Sonoda, S., Li, M., Cao, F., Huang, C., Wang, Y.G.: On the approximation lower bound for neural nets with random weights. arXiv preprint arXiv:2008.08427. https:\/\/arxiv.org\/abs\/2008.08427 (2020)"},{"key":"11_CR11","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1007\/978-981-15-5495-7_11","volume-title":"Bio-inspired Neurocomputing","author":"T Szanda\u0142a","year":"2021","unstructured":"Szanda\u0142a, T.: Review and comparison of commonly used activation functions for deep neural networks. In: Bhoi, A.K., Mallick, P.K., Liu, C.-M., Balas, V.E. (eds.) Bio-inspired Neurocomputing. SCI, vol. 903, pp. 203\u2013224. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-5495-7_11"},{"key":"11_CR12","first-page":"287","volume":"4","author":"M Vlc\u011bk","year":"2012","unstructured":"Vlc\u011bk, M.: Chebyshev polynomial approximation for activation sigmoid function. Neural Netw. World 4, 287\u2013393 (2012)","journal-title":"Neural Netw. World"}],"container-title":["Lecture Notes in Computer Science","AI 2021: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-97546-3_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,18]],"date-time":"2022-03-18T04:43:04Z","timestamp":1647578584000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-97546-3_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783030975456","9783030975463"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-97546-3_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"19 March 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Joint Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sydney, NSW","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 February 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 February 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"34","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausai2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ajcai2021.net","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"120","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was postponed to 2022 and held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}