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- W73039236 abstract "For problems that digital computers can’t readily solve, we might soon find that artificial neural networks offer a practical alternative. Because neural networks are parallel computing architectures, they aren’t hindered by the bottlenecks that can result when a serial processor attempts parallel processing. Neural networks are best at solving problems for which no algorithm exists or for which an algorithmic solution is too slow. Learning methods like learning from examples will never replace programming techniques which are currently used, but they will supplement these methods." @default.
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- W73039236 date "1988-01-01" @default.
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- W73039236 title "Hopfield Model, Boltzmann Machine, Multilayer Perceptron and Selected Applications" @default.
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- W73039236 doi "https://doi.org/10.1007/978-3-642-74119-7_8" @default.
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