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- W4312222747 abstract "In this chapter we explore the concept of neurons and neuron models to solve real world challenges. We begin with a brief description of the biological neuron and investigate a model of the neuron, called the perceptron, developed by Frank RosenblattRosenblatt in 1959. We use the single perceptron model to separate objects into two categories. We extend the model to include additional perceptrons toPerceptron separate objects into multiple categories. We then investigate the single neuron and then explore the concept of backpropagation and develop a three–layer feed–forward network with backpropagation. Along the way we develop Arduino sketches of these different models." @default.
- W4312222747 created "2023-01-04" @default.
- W4312222747 creator A5090031819 @default.
- W4312222747 date "2022-12-27" @default.
- W4312222747 modified "2023-09-27" @default.
- W4312222747 title "Neural Networks" @default.
- W4312222747 cites W24821413 @default.
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- W4312222747 doi "https://doi.org/10.1007/978-3-031-21877-4_6" @default.
- W4312222747 hasPublicationYear "2022" @default.
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