College of Electrical Information, Langfang Normal University, Langfang, China.
College of Math and Physics, Langfang Normal University, Langfang, China.
Comput Intell Neurosci. 2022 Jul 14;2022:4623188. doi: 10.1155/2022/4623188. eCollection 2022.
With the development of artificial intelligence and computer technology, the deep neural network algorithm is applied to the intelligentization of various fields of production and life. However, from the current application status, the application of artificial intelligence technology has many shortcomings. Based on this, this paper starts with the deep neural network algorithm, takes face recognition as the research tool, and deeply studies how to use the deep neural network algorithm to demonstrate the application of intelligent face recognition in complex environments. A face recognition neural network algorithm is proposed, and the accuracy of the algorithm is checked by testing. The results show that the average accuracy of a single sample in the LFW dataset is 99.17%, and the efficiency of using a single sample is close to that of many smelting models, which can be applied to various intelligent recognition scenarios.
随着人工智能和计算机技术的发展,深度神经网络算法被应用于生产生活的各个领域的智能化。然而,从目前的应用状况来看,人工智能技术的应用还存在诸多不足。基于此,本文从深度神经网络算法出发,以人脸识别为研究工具,深入研究如何利用深度神经网络算法来展示智能人脸识别在复杂环境下的应用。提出了一种人脸识别神经网络算法,并通过测试来检验算法的准确性。结果表明,在 LFW 数据集上单一样本的平均准确率为 99.17%,且单一样本的使用效率接近多个熔炼模型,可应用于各种智能识别场景。