In the previous article Neural Network in Practice: Secant Line, we began to discuss applied mathematics in practice. However, this was only a short and quick introduction to the topic. We have seen that the basic mathematical operation to be used is the trigonometric function. And, contrary to what many think, this is not a tangent function but a secant function. Although this may all seem quite confusing at first, you will soon find that everything is much simpler than it seems. Unlike
Custom signal classes for wizard assembled Expert Advisors can take on various roles, that are worth exploring, and we continue this quest by examining how the Q-Learning algorithm when paired with Markov Chains can help refine the learning process of a multi-layer-perceptron network. Q-Learning is one of the several (approximately 12) algorithms of reinforcement-learning, so essentially this is also a look at how this subject can be implemented as a custom signal and tested within a wizard
more...In our previous article, we laid the foundation by assembling the graphical elements of our MetaQuotes Language 5 (MQL5) graphical user interface (GUI) panel. If you recall, the iteration was a static assembly of GUI elements - a mere snapshot frozen in time, lacking responsiveness. It was static and unyielding. Now, let’s unfreeze that snapshot and infuse it with life. In this eagerly anticipated continuation, we’re taking our panel to the next level.
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