Artificial intelligence creation auxiliary system and method based on block chain

Abstract

The invention relates to the field of block chains, and discloses an artificial intelligence creation auxiliary system and method based on a block chain, and the system comprises a data collection module, a weight value evaluation module, a data input module, a model creation module, a result prediction module, and an optimization algorithm module. The data collection module is used for collectingdata influencing the creation result of the creator as node data of the input layer, setting related variables in an APP of the intelligent mobile terminal, and selecting index data for evaluating creation as node data of the output layer; the weight value evaluation module is used for adding a weight value to the mutual influence between the variables so as to evaluate the influence on the output variable after one or more variables are changed; and the data input module is used for setting a deviation value requirement by taking the weight value as an initial value, and taking index data ofevaluation creation as result data. According to the method, the result prediction accuracy of the target output node can be improved, and the creation efficiency of creators is greatly improved.

Description

technical field [0001] The present invention relates to the field of blockchain, in particular to a blockchain-based artificial intelligence creation assistance system and method. Background technique [0002] Some existing artificial intelligence creation assistance systems can be formed through model training to form a fully intelligent intelligent assistance system with self-learning ability. Through the formation of such intelligent functions, creators can be assisted throughout the process to complete their creative work. The specific content includes: intelligent review of their own historical creative process, recommendations of similar creative processes of others, tips for their own creative preferences, and easy-to-generate creative inspiration Environmental and condition prompts and other functions. In addition, based on the historical creative results, combined with the current target population's psychology, preferences, culture, cognition and other data, it ca...

AI Technical Summary

Problems solved by technology

However, the existing artificial intelligence creation assistance system is not very accurate in predicting the result of the target output node, and the auxiliary function for the creation work of creators is not obvious, and cannot greatly improve the creative efficiency of creators

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