Evaluation Model of Aquaculture Robot Technology Research Project Based on Machine Learning

Cheng, Peng

With the increase of research projects of aquaculture robot technology, how to evaluate the research projects of aquaculture robot technology effectively has become the primary task in the research process. However, in the use of the original evaluation model, the problem of improper selection of the index range often occurred. Therefore, the evaluation model of aquaculture robot technology research project based on machine learning is designed. Obtain the evaluation index of aquaculture robot technology project, calculate the index weight to build the evaluation index system, use machine learning algorithm to complete the collection of evaluation samples, and use the above settings to build the evaluation model of aquaculture robot technology research project. At this point, the evaluation model of the aquaculture robot technology research project based on machine learning has been designed. In order to verify the effect of the design model in this article, design a comparison experiment, evaluate the design model and the original model on a project. It can be seen through comparative experiments, it is known from experimental comparison that this model is better than the original model.