Research on Financial Difficulties Prediction and Optimization Strategies of Small and Medium-sized Enterprises Based on Support Vector Machine

In order to improve the accuracy of financial distress prediction for small and medium-sized enterprises (SMEs) and enhance the prediction performance, this paper adopts principal component analysis (PCA) to extract the input variables required for financial distress prediction, and applies Gray Wol...

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Bibliographic Details

Published in:	Applied mathematics and nonlinear sciences Vol. 10; no. 1
Main Author:	Duan, Mingyue
Format:	Journal Article
Language:	English
Published:	Beirut Sciendo 01.01.2025 De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Subjects:	97B20 Accuracy Datasets Financial distress prediction Gray wolf optimization algorithm Optimization Principal component analysis Small & medium sized enterprises-SME Support vector machine Support vector machines
ISSN:	2444-8656, 2444-8656
Online Access:	Get full text
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