Method and system for training simulated human brain thinking based on text input and output

Abstract

The embodiment of the invention provides a method and a system for training and simulation of human brain thinking based on text input and output. The method comprises the steps of: obtaining video and audio data at different time, different and same places, different or same scenes or different or same character states, and converting the video and audio data to text as input samples; convertinglanguages generated by a main body to text as corresponding output samples; and training a deep neural network to achieve simulation of the human brain thinking. When text converted from the similar scenes or character images or voice is input again, text output being similar to the training samples can be generated to simulate a decision system of the human brain, and decision is performed through simulation of the human brain to permanently store a human brain thinking mode so as to have important application values for human brain research and behavior analysis and record of important figures' thinking modes.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and system for training and simulating human brain thinking based on text input and output. Background technique [0002] With the continuous development of science and technology, the continuous improvement of artificial intelligence and big data technology, people's ability to process image data and sound information has reached the level of intelligence, especially the application of deep neural network has made great progress, deep neural network It is a neural network structure with multiple hidden layers. Deep learning combines the underlying features to form more abstract high-level features, so as to discover the deep-level features of the data. It can be trained and tested through a large amount of data, so that the deep neural network can be based on To achieve accurate output results for these training samples, its working principle is to imita...

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of science and technology, the continuous improvement of artificial intelligence and big data technology, people's ability to process image data and sound information has reached the level of intelligence, especially the application of deep neural network has made great progress, deep neural network It is a neural network structure with multiple hidden layers. Deep learning combines the underlying features to form more abstract high-level features, so as to discover the deep-level features of the data. It can be trained and tested through a large amount of data, so that the deep neural network can be based on To achieve accurate output results for these training samples, its working principle is to imitate the way of thinking of the human brain, through targeted sample training to simulate or replace the way of thinking of most people to solve common problems encountered in production or life, such as defect detection, etc. Industrial applications, but the deep neural network has not yet proposed a good solution for simulating the personality of the human brain

[0003] Deep learning technology has been widely used in many fields, such as: identity verification, Internet security, human-computer interaction, bank securities system, military criminal investigation, etc., especially in face recognition, object recognition, industrial defect recognition, unmanned driving There are important applications in vehicle scene recognition, which have been gradually promoted. However, the solutions are basically common problems in the field of recognition, and there are no cases where deep learning is used to simulate personal problems involving emotions and language habits.

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