训练用手写体数字识别人工神经网络演示的开发

Udomsak Keawmorakote, Yuraporn Padunggun, P. Noiying, Poolsak Koseeyaporn
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引用次数: 0

摘要

本文以人工神经网络演示的形式设计和开发了手写体数字识别的人工智能演示程序。该程序已用于工业用途的学习人工智能的培训。使用LabVIEW程序进行设计和开发。参与者是5名专家和20名学生。通过实验发现:1)该程序由图像读取、基础数据管理、结构确定、学习结果分析四个部分组成。在效率测试方面,判别效率不应低于81%。2)专家的适宜性评价水平较高。学习者的满意度较高。结合研究结果,可以看出教学媒体的发展
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of Artificial Neural Network Demonstration for Recognition of Handwritten Number for Training
This article presents the design and development of artificial intelligence demonstration program in the form of artificial neural network demonstration for recognition of handwritten Number. This program has been used in the training of learning artificial intelligence for industrial uses. It is designed and developed by using LabVIEW program. The participants were five experts and twenty students. From the experiment, it was found that: 1) The program composed of image reading, basic data management, structure determination, and learning result analysis. In terms of the efficiency test, discriminative efficiency should not be less than 81 percent. 2) The level of appropriate assessment by experts was high. The level of learners’ satisfaction was high. Considering the research results, it can be seen that instructional media development
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