篇名 |
A Neural Network Method for Systematic Evaluation of Informatization Development Level in Smart Court Construction
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並列篇名 | A Neural Network Method for Systematic Evaluation of Informatization Development Level in Smart Court Construction |
作者 | Dan Zhang、Tingjie Lu、Wenyu Zhang、Chenxing Yang |
英文摘要 | The systematic evaluation of informatization development level (IDL) is an evaluation that follows the development trend of digitization, networking and intelligence, and focuses on the formation of business capabilities of informatization. Research on informatization evaluation methods has been extensively studied by both domestic and international academics over the years. However, traditional evaluation methods suffer from flaws like complex mechanism design, unreliable metric conversion, difficulty obtaining the relative importance of indexes, complex evaluation process, and high computational volume. This paper attempts to introduce the neural network method into the information system evaluation, and uses the Extreme Learning Machine (ELM) algorithm to establish the evaluation model. The evaluation of the smart court system is used as an example to simulate and test the model, and the results show that the neural network-based evaluation model of informatization system is more applicable to large-scale evaluation indexes, and by continuously increasing the learning samples, it objectively improves the accuracy of evaluation, effectively avoids human subjective factors, and has the advantageous features of advanced, accurate and convenient.
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起訖頁 | 915-922 |
關鍵詞 | Informatization、Systematic evaluation、Neural network、Model |
刊名 | 網際網路技術學刊 |
期數 | 202307 (24:4期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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