A multilayer perceptron (MLP) is a type of artificial neural network that consists of multiple layers of neurons, including an input layer, one or more hidden layers, and an output layer. This structure allows MLPs to learn complex patterns in data through the process of forward propagation and backpropagation, making them effective for tasks like classification and regression in various applications, including control systems.
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