The goal of this project is to demonstrate how a neural network can learn to approximate a continuous function. We use the sine function as a classic example due to its periodic and smooth nature.

In a function such as sine or cosine, we could also have a translation of the form: \(y = \sin (x - a)^\circ\) where \(a\) is called the phase angle. This is when the graph of the function has ...

Learn how to solve trigonometric equations in Higher Maths involving multiple or compound angles and the wave function in degrees or radians.

I am have a slight problem with two recursive functions I wrote: Sine and Cosine. Each function depends on the other (and itself) to compute the value of Sine and Cosine for any value input. I am ...