A Learning Function is an empirical formula which is responsible for regulating the training of an agent with respect to Machine Learning and Artificial Intelligence (AI). In this regard, given below is our prototype Learning Function, Z, which tunes and regulates the training as well as learning in our AI agents. This is defined such that: Z = y ∗ Ω Given that Ω = 0.567143 and y is a dynamic variable, which is defined with respect to the day of the week and the time of the day
Q2 – Simple Machine-Learning Function Java Program
A Learning Function is an empirical formula which is responsible for regulating the training of an agent
with respect to Machine Learning and
prototype Learning Function, Z, which tunes and regulates the training as well as learning in our AI
agents. This is defined such that: Z = y ∗ Ω Given that Ω = 0.567143 and y is a dynamic variable, which is defined with respect to the day of the week and the time of the day, as illustrated in the table below:
| Weekday/Time | Day-Light | Night-Time |
| Monday | 2.53 | 3.25 |
| Tuesday | 3.15 | 2.99 |
| Wednesday | 3.00 | 3.99 |
| Thursday | 2.41 | 2.68 |
| Friday | 1.99 | 3.73 |
| Saturday | 3.59 | 2.86 |
| Sunday | 2.00 | 2.59 |
Therefore, write a Java program correctly such that your source code will accomplish the following:
1. Display a prompt message for the user to enter the Weekday and the Time as a single input separated via the space character. Thus, valid inputs for Weekday and Time variables are: Monday – Sunday and Day-Light as well as Night-Time, respectively. Also, these inputs MUST be case-insensitive.
2. Validate the user’s inputs to ensure that only valid values were entered for Weekday and Time inputs. If an invalid input was received; display the respective error message, and end the program with a note to the user to retry again.
3.If the user has entered a valid input with respect to Weekday and Time, process the user’s inputs to determine the corresponding value for variable, y.
4. Thereafter, compute the resultant value for our prototype learning function, Z, using the aforementioned empiric formula.
5. You MUST use the switch() statement to implement all your decision/selection logic withrespect to the value for variable ? in the Weekday/Time table given herein. In this regard, using an if() statement instead of switch() statement will be assumed as a logical failure.
6. After processing, display a confirmation message to the user in the form below: Value of the prototype Learning Function, Z, is: X.XX
7. Finally, display a complimentary-close message as follows: Thank you for contributing to this Machine Learning project!
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