At its core, the Multilayer Perceptron is composed of three or more layers: an input layer, one or more hidden layers, and an output layer. Each layer is comprised of interconnected artificial neurons ...

Clinical and pathological variables were collected in 431 patients, including tumor size, patient demographics, histological characteristics, molecular status, and staging information. A standard ...

Perceptron classification is arguably the most rudimentary machine learning (ML) technique. The perceptron technique can be used for binary classification, for example predicting if a person is male ...