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Construct a fragmented clustering model. Firstly, the mid-infrared sample data is preprocessed, the Laida criterion model is established, and the abnormal data is eliminated; then the slicing model is used to divide the spectral wave into different regions according to the spectral characteristics. The data of each slice is clustered through the k-means clustering model. The origin of Chinese medicinal materials is identified by the support vector machine model. The data of Chinese medicinal materials with a known origin of a certain type of Chinese medicinal materials is used as the training sample set, and the data of Chinese medicinal materials with unknown origin is used as the test set.<\/p>","DOI":"10.4018\/ijcini.344023","type":"journal-article","created":{"date-parts":[[2024,5,22]],"date-time":"2024-05-22T20:04:58Z","timestamp":1716408298000},"page":"1-15","source":"Crossref","is-referenced-by-count":0,"title":["AN Identification and Prediction Model Based on PSO"],"prefix":"10.4018","volume":"18","author":[{"given":"Hui","family":"Wang","sequence":"first","affiliation":[{"name":"Shenzhen Institute of Information Technology, China"}]},{"given":"Tie","family":"Cai","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Information Technology, China"}]},{"given":"Dongsheng","family":"Cheng","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Information Technology, China"}]},{"given":"Kangshun","family":"Li","sequence":"additional","affiliation":[{"name":"Dongguan City University, China"}]},{"ORCID":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/orcid.org\/0000-0001-6089-3005","authenticated-orcid":true,"given":"Ying","family":"Zhou","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Information Technology, China"}]}],"member":"2432","reference":[{"key":"IJCINI.344023-0","unstructured":"Alkhatib, K., Najadat, H. 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Improved KNN classification algorithms research in text categorization [Conference session]. 2012 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), Yichang, China. https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/ieeexplore.ieee.org\/document\/6201850","DOI":"10.1109\/CECNet.2012.6201850"},{"key":"IJCINI.344023-18","doi-asserted-by":"crossref","unstructured":"Wang, Y., & Wang, Z.-O. (2007, August 19\u201322). 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