Neural Network (ANN): A computational model inspired by the human brain’s network of neurons. An ANN consists of interconnected layers of “neurons” (nodes) with weighted connections. During training, it adjusts weights (via backpropagation) to map inputs to outputs. Neural networks excel at learning complex, non-linear relationships in data. In forex robots, ANNs (especially deep multilayer networks) are used to model the intricate patterns of currency movements and indicators. For example, multilayer perceptrons or recurrent networks can classify market trends or predict prices by combining information from many inputs. Their flexibility makes them a core component of modern AI trading systems.

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