Python production reasoning system

Table of contents

1. Rule base text

2. Operation when the user selects a set of conditions:

3. Handling of rule conflicts:

4. How users add interface rules:

5. Introduction of related functions:

6. Some related codes:

7. Video presentation

8. Resource acquisition 


A small production-based artificial intelligence system, the basic structure of the production system is as follows:

1. Rule base text

        The text content can be customized according to the needs, and the system uses 7 kinds of features to infer the results

2. Operation when the user selects a set of conditions:

        After the user selects a set of data, the system will organize it according to the corresponding characteristics in the rule base, and push out the results with the characteristics in the data.

3. Handling of rule conflicts:

     After the user selects a piece of data, the features of the same type in the rule base will also be deleted, preventing the user from multiple selections of the same type but different features, and preventing rule conflicts.

4. How users add interface rules:

     There is an introduction to adding conditional formatting above the adding condition. If the user fails to add according to the rules, the system will prompt and prevent the user from entering the conditional import.

5. Introduction of related functions:

     The current usage rules are inference results, you can click to switch to the corresponding picture, and the text display of the inference results will also be updated synchronously.

6. Some related codes:

7. Video presentation

Video Demo Resources

Python production reasoning system2023-03-31

8. Resource acquisition 

Python production reasoning system resources

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Origin blog.csdn.net/weixin_70206677/article/details/129881322