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InfoWorld2y
Gradient descent in Java - InfoWorld
IDG. Figure 1. A diagram of the neural network we’ll use for our example. The idea in backpropagation with gradient descent is to consider the entire network as a multivariate function that ...
IEEE12mon
Neural Network Model Using Levenberg Marquardt Backpropagation Algorithm for the Prandtl Fluid Flow Over Stratified Curved Sheet - IEEE Xplore
Artificial intelligence has proliferated across numerous fields of study as a result of its rapid and accurate response times. Its application in fluid dynamics for optimization and computational ...
IEEE4y
Comparative Performances of Neural Networks of Variant Architectures Trained with Backpropagation and Differential Evolution | IEEE Conference Publication | IEEE Xplore
Work on Neuro-evolution has of late tended to focus on the design of alternative architectures and hyper-parameters for different classes of Neural Networks to improve performance and computational ...
Oak Ridge National Lab9mon
Numerical Analysis for Convergence of a Sample-Wise Backpropagation Method for Training Stochastic Neural Networks | ORNL - Oak Ridge National Laboratory
The aim of this paper is to carry out convergence analysis and algorithm implementation of a novel sample-wise backpropagation method for training a class of stochastic neural networks (SNNs). The ...