Research on artificial intelligence based on projection pursuit and real coded genetic algorithm

The main audience of artificial intelligence is college students, and analyzing the characteristics of college students' use of artificial intelligence can reflect people's attitude and use of artificial intelligence. This paper focuses on using machine learning to study the usage characteristics of artificial intelligence, collecting public data for data cleaning, transforming the binary coding of the standard genetic algorithm into the form of real coding through the accelerated Genetic algorithm (RAGA) based on real coding, and using the accelerated cycle to solve the optimal solution to make the solution speed faster. The problem of slow and non-optimal solution of standard genetic algorithm is improved, and a real coding accelerated genetic algorithm model based on projection tracking method is established. Through the data processing of the projection tracking method, the selection of the characteristic indicators of the sample space is solved, the genetic algorithm model is established and the data is trained, the binary coding method is adopted by the standard genetic algorithm, the population is initialized and the initial code sequence is solved by the objective function, and finally, the applicability evaluation and iterative evolution are carried out to accelerate the cyclic solution. After 80 iterations, the usage characteristics of artificial intelligence are obtained.