Reliable estimation of Chlorophyll-a concentration (Chl-a) from remotely sensed data is essential for monitoring the health of aquatic ecosystems and supporting environmental policy decisions (El ...
The goal of NoProp is to train neural networks without relying on traditional end-to-end backpropagation. - GitHub - vpuhoff/noprop-dt-mnist-pytorch: This repository contains an experimental PyTorch ...
Abstract: As a new kind of neural network model, Neural network PID (PIDNN) combines the advantages of PID and neural network. However, the error back propagation ...
Abstract: In this study, an efficient automatic design method is proposed for laterally-diffused metal-oxide semiconductor (LDMOS) devices. This method integrates Particle Swarm Optimization (PSO) and ...
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