This paper explores the multi-objective optimization design issue of the dual-stator hybrid rotor low-speed high-torque motor (DS-LSHTM).The torque, torque ripple and motor efficiency are selected as ...

Description This repository contains an experimental PyTorch implementation exploring the NoProp algorithm, presented in the paper "NOPROP: TRAINING NEURAL NETWORKS WITHOUT BACK-PROPAGATION OR FORWARD ...

To solve this problem, we propose several hybrid multi-population genetic algorithms. First, a novel crossover operator for the genetic algorithms is designed, through which a single parent chromosome ...

One of the main challenges in the field has been identifying neural stem and progenitor cells (NPCs) responsible for generating these new neurons.

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch. Dropout in Neural Network is a regularization technique in Deep Learning to ...

To facilitate hybrid wheat production, it is essential to modify the floral morphology of wheat to promote outbreeding rather than inbreeding. While some genetic diversity for flower morphology exists ...

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.