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- W4387317476 abstract "To many, artificial neural networks (ANNs) are the archetypal machine learning algorithm; they have a power and generality, together with a long pedigree, which makes them difficult to displace from this position. As one of the earliest general machine learners, ANNs were one of the first to be adopted for addressing data-based engineering problems. This chapter will discuss the historical development of ANNs in the context of engineering usage; in that context, it will prove useful to divide the history into three main periods: pre-history, the first (MLP) age, and the second (deep) age." @default.
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- W4387317476 date "2023-01-01" @default.
- W4387317476 modified "2023-10-05" @default.
- W4387317476 title "Artificial Neural Networks" @default.
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- W4387317476 doi "https://doi.org/10.1007/978-3-031-36644-4_2" @default.
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