Application of NN Model in Basalt Structure Discrimination Diagram: —Take Changbaishan Basalt as an Example

Neural network (NN) is a computational model based on artificial neuron network, which has shown strong application capabilities in many fields. In this paper, taking the basalt of Changbai Mountain as an example, the application of NN model in the discriminant diagram of basalt structure is discussed. Firstly, the geological characterisTics and structural types of Changbai Mountain basalt are introduced, secondly, the basic principles and construction methods of NN model are elaborated in detail, and finally, the NN model is used to identify the structural types of Changbai Mountain basalt, and the results are analyzed and discussed. The results show that the NN model has high accuracy and reliability in the discriminant diagram of basalt structure, which can provide new ideas and methods for the study of basalt structure.