James McCaffrey explains the common neural network training technique known as the back-propagation algorithm.

Back Propagation is a common method of training artificial neural networks so as to minimize objective function. This paper describes the implementation of back propagation algorithm.

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

The artificial neural network (ANN) theory and method was adopted to establish a back propagation (BP) neural network model for the assessment of water quality. Considering the water quality in the ...

Neural Networks: Computational models inspired by biological neural systems that learn patterns from data. Back Propagation: A common algorithm used to train multi-layer networks by minimising ...

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A back-propagation neural network can easily predict the energy consumption of a pipeline system with fewer mathematical statistics than other methods and a simple pretreatment of the original ...

Here, we propose an artificial intelligence--based approach--inferring species membership via DNA barcoding with back-propagation neural networks (named BP-based species identification)--as a new ...