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Neuroinform."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>Regression and classification are two of the most fundamental and significant areas of machine learning.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In this paper, a radial basis function neural network (RBFNN) based on an improved black widow optimization algorithm (IBWO) has been developed, which is called the IBWO-RBF model. In order to enhance the generalization ability of the IBWO-RBF neural network, the algorithm is designed with nonlinear time-varying inertia weight.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Several classification and regression problems are utilized to verify the performance of the IBWO-RBF model. In the first stage, the proposed model is applied to UCI dataset classification, nonlinear function approximation, and nonlinear system identification; in the second stage, the model solves the practical problem of power load prediction.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Compared with other existing models, the experiments show that the proposed IBWO-RBF model achieves both accuracy and parsimony in various classification and regression problems.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fninf.2022.1103295","type":"journal-article","created":{"date-parts":[[2023,1,10]],"date-time":"2023-01-10T20:41:52Z","timestamp":1673383312000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["An RBF neural network based on improved black widow optimization algorithm for classification and regression problems"],"prefix":"10.3389","volume":"16","author":[{"given":"Hui","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guo","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongquan","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huajuan","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuxi","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2023,1,10]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"2643","DOI":"10.1007\/s00521-017-2874-2","article-title":"Radial basis function neural network-based face recognition using firefly a lgorithm.","volume":"30","author":"Agarwal","year":"2018","journal-title":"Neural Comput. 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