IEEE

Optimising Neural Networks with Fine-Grained Forward-Forward Algorithm: A Novel Backpropagation-Free Training Algorithm

Abstract: This paper introduces the Fine-Grained Forward-Forward Algorithm (FGFF), a novel backpropagation-free network training methodology that builds upon the foundational Forward-Forward algorithm ...
SciELO

Trait prediction through computational intelligence and machine learning applied to the improvement of white oat (Avena sativa L)

Avena sativa L.; multiple regression; decision trees; Artificial neural networks Given the above, this research aims to (1) compare different methods to predict grain yield in white oat and evaluate ...
IEEE

Advanced Detection of Black Tea Fermentation Quality Using Hyperspectral Imaging and Optimized Backpropagation Neural Network

Abstract: This study investigates the application of hyper- spectral imaging combined with an optimized Backpropagation Neural Network (BPNN) for evaluating black tea fermentation quality. Spectral ...
GitHub

generative-neural-network

A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
C&EN

GSH and Halides Directed Controllable Synthesis of Chiral Gold Nanostars for Sensitive Diagnosis of Nephritis Types Using SERS and Transformer Neural Network

Institute of Digitized Medicine and Intelligent Technology, Wenzhou Medical University, Wenzhou 325000, P. R. China ...
GitHub

Python Network Security Scanner

A high-performance, multi-threaded network security scanner built in Python. This tool performs comprehensive TCP port scanning, service enumeration through banner grabbing, and HTTP security header ...