Application of Hopfield Neural Network Algorithm in Mathematical Modeling

Neural network model is an important research direction in mathematical modeling, also known as artificial neural net, which is composed of artificial neural network, brain and other systems, and its main research object is pattern recognition, which has a wide range of applications in mathematical modeling. It can simulate the human brain’s information processing process by learning through its structure and function, and has strong self-adaptive ability. It can simulate various patterns that may appear in the human brain’s information processing process, and can make predictions and decisions. The neural network model can be a good solution to the traditional mathematical modeling methods, and also has the characteristics of better fault tolerance and generalization ability, which can easily transform the mathematical problems into computer solutions, and can make the model can be solved in a limited time by processing the data.