This article describes the outline/details/procedures of the app.
[overview]
In order for AI to provide a menu to the user, it is necessary to set the following three input data.
・User input data
1. Menu information (curry, hamburger steak, etc.)
2. Weather conditions at that time (cold, hot, etc.)
3. Hunger conditions at that time (hungry, slightly full, etc.)
※ 2. 3. is the situation when eating 1.
AI learns based on the above three data, and AI provides a menu according to the current information of 2. 3. Therefore, if you let AI learn the main dish, you can minimize the time to think about the menu.
[detail]
The details of the above data are as follows.
・User input data (details)
1. Menu information (preferably main dish)
2. Climate (winter general/cold/chilly/comfortable/hot/sultry/hot)
3. Hunger level (hungry/slightly hungry/normal/slightly full/almost full)
The above 1. is the AI output signal, and the above 2.3. is the input signal. Therefore, the learning accuracy increases as the number of sample data (input/output patterns) increases.
[procedure]
(1) Set menu/climate/hunger
②Press the SET button (data setting)
③Press the START AI button (learning starts)
④ Set the current climate/hunger level
➄ RESULT button press (learning result display)
The information set by the user is automatically saved when the app is closed. Also, the CLEAR DATA button at the bottom deletes all the data used in learning.
[overview]
In order for AI to provide a menu to the user, it is necessary to set the following three input data.
・User input data
1. Menu information (curry, hamburger steak, etc.)
2. Weather conditions at that time (cold, hot, etc.)
3. Hunger conditions at that time (hungry, slightly full, etc.)
※ 2. 3. is the situation when eating 1.
AI learns based on the above three data, and AI provides a menu according to the current information of 2. 3. Therefore, if you let AI learn the main dish, you can minimize the time to think about the menu.
[detail]
The details of the above data are as follows.
・User input data (details)
1. Menu information (preferably main dish)
2. Climate (winter general/cold/chilly/comfortable/hot/sultry/hot)
3. Hunger level (hungry/slightly hungry/normal/slightly full/almost full)
The above 1. is the AI output signal, and the above 2.3. is the input signal. Therefore, the learning accuracy increases as the number of sample data (input/output patterns) increases.
[procedure]
(1) Set menu/climate/hunger
②Press the SET button (data setting)
③Press the START AI button (learning starts)
④ Set the current climate/hunger level
➄ RESULT button press (learning result display)
The information set by the user is automatically saved when the app is closed. Also, the CLEAR DATA button at the bottom deletes all the data used in learning.
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