Research on Multi-Beam Detection Data Optimization and Artificial Intelligence System Decision Support Based on MILP

At present, the artificial intelligence system decision support based on MILP beam detection data optimization, and the effect evaluation has a poor accuracy problem. Therefore, this paper studies the effect evaluation of artificial intelligence system decision support for beam detection data optimization. The evaluation model of decision support effect of artificial intelligence system for beam detection data optimization based on multiple beam detection data optimization is proposed. Firstly, principal component analysis is used to select the evaluation index of decision support effect of artificial intelligence system for beam detection data optimization. Then through multiple beam detection data optimization of artificial intelligence system decision support effect evaluation system, by multiple beam detection data optimization of the input layer and hidden layer and output layer node build multiple beam detection data optimization vector index, the connection weight and threshold output value calculation, complete the beam detection data optimization of artificial intelligence system decision support effect evaluation. The simulation experiment results show that the proposed MILP model has the optimal evaluation effect of the AI system, which can effectively improve the evaluation accuracy.