Abstract
Aiming at the problems of large scale, variety and difficulty in data analysis, a fuzzy neural network algorithm based on artificial intelligence technology is proposed to analyze and process data. This algorithm combines the learning characteristics of the neural network and the fault-tolerant advantages of the fuzzy system, uses k-man’s algorithm to cluster the sample input space, generates the membership matrix, and uses the neural network algorithm to train the data, and finally completes the target output. The analysis results can meet the existing engineering application requirements. The research content of this paper is of great significance to improve the utilization level of power engineering data and engineering management ability.
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