IEEE

A new backpropagation method dedicated for learning a max-min neural network

Abstract: In this paper, we propose a new learning method for max-min neural networks with more than three layers. These networks, valued for their intrinsic interpretability due to their direct link ...
Hacker

Backprop — The Russian Algorithm the West Claimed as Its Own

Your browser does not support the audio element. The backpropagation algorithm is the cornerstone of modern artificial intelligence. Its significance goes far beyond ...
IEEE

Modeling and Online SOC Estimation Method Using Back Propagation Neural Network with Momentum Gradient Descent Algorithm of Batteries

Abstract: To improve the estimation accuracy of the state of charge (SOC) in power batteries for electric vehicles, this study proposes a novel modeling and online SOC estimation method using Back ...
Hosted on MSN

Backpropagation From Scratch in Python

Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners! Attorney reveals what Kirk shooting suspect told roommate via text: ‘I’d hope to keep this secret’ ...
Frontiers

Enhancing bathymetric prediction by integrating gravity and gravity gradient data with deep learning

This study aims to enhance the spatial resolution and accuracy of bathymetric prediction by integrating Gravity Anomaly (GA) and Vertical Gravity Gradient Anomaly (VGG) data with a dual-channel ...
Semiconductor Engineering

Backpropagation Algorithm On Neuromorphic Spiking HW (U. Of Zurich, ETH Zurich, LANL)

A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...
Frontiers

Solar Energy Forecasting in Short Term Based on the ASO-BPNN Model

Accurate forecasting of short-term photovoltaic power output is vital for enhancing the operation efficiency of photovoltaic (PV) power stations and ensuring the safety and stable operation of ...
insideHPC

RMSprop Optimization Algorithm for Gradient Descent with Neural Networks

A big part of AI and Deep Learning these days is the tuning/optimizing of the algorithms for speed and accuracy. Much of today’s deep learning algorithms involve the use of the gradient descent ...