Electronic Information Intelligent Decision and Control Technology Integrating Big Data and Intelligent Algorithms

As the Internet of Things (IoT) and artificial intelligence (AI) technologies are rapidly developing, intelligent decision-making and control systems have become a very important part of many fields, including electronic information. This article proposes an electronic information intelligent decision-making and control technology that integrates big data analysis and intelligent algorithms, aiming to better build intelligent decision-making and control systems. By proposing a BP (Back propagation) neural network based on genetic algorithm optimization, this paper analyzes the optimization process of this algorithm model and constructs a complete intelligent decision-making and control system structure based on big data and intelligent algorithms. Moreover, through multidimensional comparative experiments, this article demonstrates the effectiveness and universality of our method. In the final application test in smart home systems, taking the failure rate as an example, the average failure rate of the experimental group was 4.36%, and the average failure rate of the control group was 5.71%. Therefore, this study found that the integration of big data and intelligent algorithms could effectively build electronic information intelligent decision-making and control systems.