{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T18:15:09Z","timestamp":1775067309088,"version":"3.50.1"},"reference-count":41,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T00:00:00Z","timestamp":1675641600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Key Project of Science and Technology Innovation 2030 supported by the Ministry of Science and Technology of China","award":["2018AAA0101301"],"award-info":[{"award-number":["2018AAA0101301"]}]},{"name":"Key Project of Science and Technology Innovation 2030 supported by the Ministry of Science and Technology of China","award":["2019KZDZX1011"],"award-info":[{"award-number":["2019KZDZX1011"]}]},{"name":"Key Project of Science and Technology Innovation 2030 supported by the Ministry of Science and Technology of China","award":["2018KTSCX222"],"award-info":[{"award-number":["2018KTSCX222"]}]},{"name":"Key Projects of Artificial Intelligence of High School in Guangdong Province","award":["2018AAA0101301"],"award-info":[{"award-number":["2018AAA0101301"]}]},{"name":"Key Projects of Artificial Intelligence of High School in Guangdong Province","award":["2019KZDZX1011"],"award-info":[{"award-number":["2019KZDZX1011"]}]},{"name":"Key Projects of Artificial Intelligence of High School in Guangdong Province","award":["2018KTSCX222"],"award-info":[{"award-number":["2018KTSCX222"]}]},{"name":"High School innovation Project","award":["2018AAA0101301"],"award-info":[{"award-number":["2018AAA0101301"]}]},{"name":"High School innovation Project","award":["2019KZDZX1011"],"award-info":[{"award-number":["2019KZDZX1011"]}]},{"name":"High School innovation Project","award":["2018KTSCX222"],"award-info":[{"award-number":["2018KTSCX222"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Axioms"],"abstract":"<jats:p>The Cascade Correlation learning algorithm is a special supervised learning algorithm for artificial neural network architecture. The optimization algorithm in the traditional neural network has the disadvantages of a single optimization goal, slow convergence speed, and can easily fall into local area, which cannot fully meet the key elements in the cascade correlation learning algorithm. In comparison, the group intelligence optimization algorithm can take into account these key elements in the optimization process at the same time, and obtain better optimization results. In this paper, we propose the single-objective optimization algorithm jDE-B and the multi-objective optimization algorithm MOEA-T, and improve the network expansion mode in the learning process of Cascade Correlation neural networks. We investigate the effect of applying the group intelligent optimization algorithm in the Cascade Correlation learning algorithm. Experimental results show that our improved algorithm is able to enhance the ability of the Cascade Correlation neural network to fit problems, reduce the number of hidden units and the depth of the network, and optimize the network structure.<\/jats:p>","DOI":"10.3390\/axioms12020164","type":"journal-article","created":{"date-parts":[[2023,2,6]],"date-time":"2023-02-06T04:59:10Z","timestamp":1675659550000},"page":"164","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Improved Cascade Correlation Neural Network Model Based on Group Intelligence Optimization Algorithm"],"prefix":"10.3390","volume":"12","author":[{"given":"Jun","family":"Deng","sequence":"first","affiliation":[{"name":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan 523808, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingxia","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Dongguan City College, Dongguan 523419, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0881-459X","authenticated-orcid":false,"given":"Wenhong","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan 523808, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,2,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"18143","DOI":"10.1007\/s00521-019-04196-8","article-title":"A new growing pruning deep learning neural network algorithm (GP-DLNN)","volume":"32","author":"Zemouri","year":"2019","journal-title":"Neural Comput. 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