Intelligent Decision Making Algorithm Based On Hybrid Cuckoo Algorithm and Deep Learning

The current intelligent decision-making algorithms are not comprehensive enough in data search, resulting in poor quality decision results. For this reason intelligent decision algorithms based on hybrid cuckoo algorithms and deep learning are proposed. Integrated intelligent decision data space. Global search of data in this space based on the hybrid cuckoo algorithm. Establish a non-interference decision data allocation matrix, and use deep learning technology to generate intelligent decision algorithms based on the results of the interference decision data allocation matrix. Experiments show that the highest reward value of the decision results obtained by the algorithm reaches 4.73, which substantially improves the quality of the decision results and has high practical application value.