perceptron algorithm
[/pərˈsɛptrɑn ˈælɡərɪðəm/]
nounpl: perceptron algorithms
algoritmo do perceptron
1. A supervised learning algorithm for binary classification that learns to separate linearly separable data points by iteratively updating weights based on classification errors
The perceptron algorithm is one of the simplest machine learning models used in artificial intelligence.
O algoritmo do perceptron é um dos modelos de aprendizado de máquina mais simples utilizados em inteligência artificial.
2. A foundational algorithm in neural networks that processes input features through weighted connections to produce a binary output
Researchers use the perceptron algorithm as a stepping stone to understand more complex neural network architectures.
Pesquisadores utilizam o algoritmo do perceptron como um passo inicial para entender arquiteturas de redes neurais mais complexas.
The perceptron algorithm is a fundamental concept in computer science and artificial intelligence education. It was developed by Frank Rosenblatt in 1958 and remains central to understanding neural networks in both Brazilian and international academic curricula. The term is typically not translated in technical documentation and is used as-is in Portuguese scientific literature.
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