{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T04:47:08Z","timestamp":1764996428113,"version":"3.28.0"},"reference-count":55,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T00:00:00Z","timestamp":1670457600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,8]],"date-time":"2022-12-08T00:00:00Z","timestamp":1670457600000},"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":[[2022,12,8]]},"DOI":"10.1109\/iccicc57084.2022.10101500","type":"proceedings-article","created":{"date-parts":[[2023,4,21]],"date-time":"2023-04-21T13:58:16Z","timestamp":1682085496000},"page":"22-31","source":"Crossref","is-referenced-by-count":4,"title":["Adaptive Chaotic Injection to Reduce Overfitting in Artificial Neural Networks"],"prefix":"10.1109","author":[{"given":"Siobhan","family":"Reid","sequence":"first","affiliation":[{"name":"University of Manitoba Winnipeg,Dept. ECE,MB,CANADA"}]},{"given":"Ken","family":"Ferens","sequence":"additional","affiliation":[{"name":"University of Manitoba Winnipeg,Dept. ECE,MB,CANADA"}]},{"given":"Witold","family":"Kinsner","sequence":"additional","affiliation":[{"name":"University of Manitoba Winnipeg,Dept. ECE,MB,CANADA"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.12785\/amis\/090512"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/BF02174137"},{"key":"ref15","first-page":"70","article-title":"An Analysis of Chaotic Noise Injected to Backpropagation Algorithm in Feedforward Neural Network","volume":"1","author":"azamimi","year":"2008","journal-title":"International Workshop on Vision Communications and Circuits"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-011-9185-x"},{"key":"ref53","first-page":"2825","article-title":"Scikit-learn: Machine Learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"journal-title":"Model Evaluation Model Selection and Algorithm Selection in Machine Learning","year":"2018","author":"raschka","key":"ref52"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00285-009-0312-5"},{"journal-title":"Strange Attractors Creating Patterns in Chaos","year":"1993","author":"sprott","key":"ref55"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.crvi.2003.09.011"},{"key":"ref54","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume":"1","author":"devlin","year":"0","journal-title":"NAACL HLT 2019 &#x2013; 2019 Conf North Am Chapter Assoc Comput Linguist Hum Lang Technol - Proc Conf"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11571-014-9323-z"},{"key":"ref16","first-page":"215","article-title":"Chaotically Oscillating Sigmoid Function in Feedforward Neural Network","author":"uwate","year":"0","journal-title":"Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA '06) 2006"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref18"},{"key":"ref51","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2014","journal-title":"Int Conf Learn Represent"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874254"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2013.77"},{"journal-title":"CrossEntropyLoss","year":"0","key":"ref48"},{"key":"ref47","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume":"32","author":"paszke","year":"2019","journal-title":"Adv Neural Inf Process Syst"},{"journal-title":"Adaptive Chaotic Injection to Reduce Overfitting in Artificial Neural Networks","year":"2022","author":"reid","key":"ref42"},{"journal-title":"Google colab","year":"0","key":"ref41"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"krizhevsky","key":"ref44"},{"key":"ref43","first-page":"1","author":"xiao","year":"2017","journal-title":"Fashion-mnist a novel image dataset for benchmarking machine learning algorithms"},{"key":"ref49","first-page":"10691","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume":"2019 june","author":"tan","year":"2019","journal-title":"36th Int Conf Mach Learn ICML 2019"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015435"},{"key":"ref7","first-page":"1929","article-title":"Dropout: A Simple Way to Prevent Neural Networks from Overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1118\/1.3213517"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2019.102526"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s13244-018-0639-9"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_5"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1168\/2\/022022"},{"journal-title":"Python Reference Manual","year":"2009","author":"van rossum","key":"ref40"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1002\/eng2.12369"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC.2018.8407425"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-80196-9"},{"journal-title":"Nonlinear Dynamics and Chaos With Applications to Physics Biology Chemistry and Engineering","year":"2015","author":"strogatz","key":"ref36"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-13453-221"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR48806.2021.9412385"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1119\/1.17885"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533462"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2021.100164"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref39","first-page":"807","article-title":"Rectified Linear Units Improve Restricted Boltzmann Machines","author":"nair","year":"2010","journal-title":"Proceedings of the 27th International Conference on International Conference on Machine Learning"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-70296-0_87"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3082317"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/AsianHOST47458.2019.9006702"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1996.8.3.643"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ChinaSIP.2014.6889193"},{"key":"ref20","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","volume":"abs 1207 0","author":"hinton","year":"2012","journal-title":"CoRR"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1995.7.1.108"},{"key":"ref21","first-page":"1","article-title":"Explicit regularisation in Gaussian noise injections","author":"camuto","year":"2020","journal-title":"NeurIPS"},{"key":"ref28","first-page":"1","author":"khalfaoui","year":"2019","journal-title":"ASNI Adaptive Structured Noise Injection for shallow and deep neural networks"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.485"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-64221-1_16"}],"event":{"name":"2022 IEEE 21st International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","start":{"date-parts":[[2022,12,8]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2022,12,10]]}},"container-title":["2022 IEEE 21st International Conference on Cognitive Informatics &amp; Cognitive Computing (ICCI*CC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10101484\/10100740\/10101500.pdf?arnumber=10101500","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T14:31:24Z","timestamp":1683556284000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10101500\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,8]]},"references-count":55,"URL":"https:\/\/doi.org\/10.1109\/iccicc57084.2022.10101500","relation":{},"subject":[],"published":{"date-parts":[[2022,12,8]]}}}