Neural network analysis system and method based on self-definition model

Abstract

The invention discloses a self-defined model of artificial neural network analysis system and method. The system and method use of a powerful database system as a background, the computer automatically through artificial neural network model of arbitrary custom, and in accordance with its definition of the artificial neural network model for automatic data analysis and forecasting training. This makes the original artificial neural network professionals need to take several months of artificial neural network data analysis, only just a few minutes to complete, at the same time, as a result of a custom graphical modeling and engineering management makes artificial steps Neural network analysis more simple and fast. This invention changed the artificial neural network analysis by completely relying on the traditional method of programming, Neural network analysis makes further leap to the intelligent, personalized self-definition stage. Through the system and method for the analysis of the provision of professional staff, and rapid analysis of neural network services, thereby greatly improving the artificial neural network analysis of quality and efficiency.

Description

【Technical field】 [0001] The present invention relates to a self-defined model artificial neural network analysis system and method, in particular to a system and method for quickly establishing an artificial neural network model without the need for professional artificial neural network professionals and manual programming of artificial neural network model programs. 【Background technique】 [0002] Because the artificial neural network analysis method can carry out large-scale parallel processing of information, has strong robustness, nonlinearity and fault tolerance, is good at association, generalization, analogy and reasoning, and has strong self-learning and memory capabilities, etc. It is good at analyzing and extracting macroscopic statistical laws from a large amount of statistical data, so artificial neural network analysis is widely used in teaching and scientific research, experimental analysis, mechanical design, civil engineering, biomedicine, aerospace, hydrome...

AI Technical Summary

Problems solved by technology

However, because users are generally not professional artificial neural network professionals, and users often require the establishment of a variety of different artificial neural network models for data analysis and prediction, since there are no artificial neural network professionals to customize and design corresponding artificial neural network models, making Many research analyzes cannot be carried out

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