構(gòu)建基于神經(jīng)網(wǎng)絡(luò)算法的精準(zhǔn)資助育人模型

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摘要：高校資助育人的關(guān)鍵在于精準(zhǔn)識別目標(biāo)群體。該文運(yùn)用大數(shù)據(jù)與AI技術(shù)，通過神經(jīng)網(wǎng)絡(luò)算法構(gòu)建貧困生等級預(yù)測模型，經(jīng)訓(xùn)練與測試驗證其準(zhǔn)確性，相較于逐步線性模型，該模型提供更客觀支撐，對高校實現(xiàn)精準(zhǔn)資助及管理具有重要意義。

關(guān)鍵詞：神經(jīng)網(wǎng)絡(luò)算法；精準(zhǔn)資助；育人模型；逐步線性模型

doi：10.3969/J.ISSN.1672-7274.2024.11.003

中圖分類號：TP 18                 文獻(xiàn)標(biāo)志碼：A            文章編碼：1672-7274（2024）11-000-03

Construction of a Precise Financial Aid and Educational Model

Based on Neural Network Algorithms

ZHANG Li

（Jiangsu Vocational College of Electronics and Information， Huaian 223003， China）

Abstract： The key to financial aid and educational support in colleges and universities lies in the precise identification of target groups. This paper utilizes big data and AI technology to construct a poverty level prediction model for students through neural network algorithms. The accuracy of the model is verified through training and testing. Compared with the stepwise linear model， this model provides more objective support and is of great significance for colleges and universities to achieve precise financial aid and management.

Keywords： neural network algorithms; precise financial aid; educational model; stepwise linear model

0   引言

隨著高校資助工作的深入，資助育人理念日益深化，對精準(zhǔn)資助提出了更高要求，其核心在于細(xì)化、公平化資助目標(biāo)群體，以實現(xiàn)精準(zhǔn)化、科學(xué)化的資助育人。（剩余3802字）