Perceptron algorithm Machine Learning
noun phrase
Definition: A linear machine learning algorithm for binary classification; it is one of the earliest and simplest neural-network learning algorithms and serves as a foundational building block in ML [Bakanach 2023/2024].
Example in context: “Meta-models constructed using fractional constitutive models and machine learning algorithms (such as random forest, extreme gradient boosting, and multi-layer perceptron) also perform well in predicting rock mechanical behavior by simplifying complex integration algorithms and accounting for parameter uncertainty, particularly the combination of the multi-layer perceptron algorithm and strategy II.”[Liu et al. 2024]
Related terms: single-layer perceptron, linear classifier, binary classifier