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The results indicated that the recurrent self-organizing map with multi-layerperceptron generates a slightly better estimation than multi-layerperceptron and autoregressive integrated moving average in the resource consumption predictions of system and application level of web server.<\/jats:p>","DOI":"10.4018\/jitr.2020010103","type":"journal-article","created":{"date-parts":[[2019,10,23]],"date-time":"2019-10-23T13:18:25Z","timestamp":1571836705000},"page":"30-43","source":"Crossref","is-referenced-by-count":2,"title":["Software Aging Forecast Using Recurrent SOM with Local Model"],"prefix":"10.4018","volume":"13","author":[{"given":"Yongquan","family":"Yan","sequence":"first","affiliation":[{"name":"School of Statistics, Shanxi University of Finance and Economics,, Taiyuan, China"}]}],"member":"2432","reference":[{"key":"JITR.2020010103-0","doi-asserted-by":"publisher","DOI":"10.1109\/DSN.2010.5544275"},{"key":"JITR.2020010103-1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1970.10481180"},{"issue":"4","key":"JITR.2020010103-2","first-page":"675","article-title":"ARF-Predictor: Effective prediction of aging-related failure Using Entropy.","volume":"15","author":"P.Chen","year":"2018","journal-title":"IEEE Transactions on Dependable and Secure Computing"},{"key":"JITR.2020010103-3","doi-asserted-by":"crossref","unstructured":"Cotroneo, D., Natella, R., & Pietrantuono, R. 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