Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

Also, a new back propagation (BP) neural network-based algorithm is proposed to stabilize the device calibration and remove pressure signal noise. For improving the reliability and accuracy of ...

Flooding is a major problem in many countries while flood models have been proposed by various research groups on hydrological model in the past. Recently, Artificial Neural Network has been applied ...

The intricate dance of information cascades through the network layers during forward propagation. This flow encapsulates the essence of neural network operations, where each layer diligently receives ...

The finite element (FE) method was used to calculate the TPMS configuration and generate a back propagation neural network (BPNN) data set. Neural networks were used to establish the relationship ...

The backpropagation algorithm computes the gradient of the loss function with respect to the weights. these algorithms are complex and visualizing backpropagation algorithms can help us in ...

Except for VGGNet and AlexNet, all parameters of other artificial neural networks were obtained through 10-fold cross-validation to avoid particularity. The overall flow chart of the method is shown ...

Backpropagation in neural network emerged when researchers realized they could use it to adjust input weights in neural network, which was not possible in feedforward neural net.