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IEEE13d
Adaptive Learning-Rate Backpropagation Neural Network Algorithm Based on the Minimization of Mean-Square Deviation for Impulsive Noises - IEEE Xplore
This paper presents a novel adaptive learning-rate backpropagation neural network (ALR-BPNN) algorithm based on the minimization of mean-square deviation (MSD) to implement a fast convergence rate and ...
IEEE9d
Optimization of Smooth Support Vector Machine Algorithm Using Backpropagation Nguyen Widrow Algorithm in Classification of Mellitus Diabetes Disease - IEEE Xplore
In this study, a combination of Smooth Vector Support Machine (SSVM) and the Nguyen Widrow Back propagation algorithm is performed. For many data one of the weaknesses of the SSVM algorithm is the low ...
GitHub25d
back-propagation · GitHub Topics · GitHub
Simple two-layer neural network written in Python mainly to solve the XOR problem. NN implemented in two versions: without tensorflow usage and with tensorflow package. It uses back-propagation ...