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- W3129797005 abstract "Behind every discovery, observation plays a vital role. The neural networks (NNs) are the result of a very minute neuron observation. This led to a revolution in the field of artificial intelligence. On the contrary of the biological inspirations, we present some of the physical sciences models that could be further related to neural network training phase. These relations are the momentum, solar orbits and the shape of a water droplet. Momentum is related to the weight optimization during NNs training phase and Solar orbits helps to understand the epoch’s concept. At the end, shape of a water droplet concept gives us the motivation behind the loss function optimization. These three are just some of the many inspirations that we can obtain from physical sciences. This paper can be the beginning of a whole new theory to the neural networks." @default.
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- W3129797005 date "2021-01-01" @default.
- W3129797005 modified "2023-09-29" @default.
- W3129797005 title "Physical Sciences: An Inspiration to the Neural Network Training" @default.
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- W3129797005 doi "https://doi.org/10.1007/978-981-15-7533-4_66" @default.
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