IEEE

Particle Swarm Optimization for Automated Design of Reversible Residual Neural Networks for Turntable Servo Systems

Abstract: The reversible residual neural network (RRNN) model is a bidirectional neural network model, which has recently gained attention in the design of various control methods in turntable servo ...
GitHub

Scalable Neural Network-based Blackbox Optimization

This repository provides implementation for SNBO (Scalable Neural Network-based Blackbox Optimization) — a novel method for efficient blackbox optimization using neural networks. It also includes code ...
IEEE

Fine Tuning Hyperparameters of Deep Learning Models Using Metaheuristic Accelerated Particle Swarm Optimization Algorithm

Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
Scientific Research Publishing

Dya, T., Blaise, B.B., Betchewe, G. and Alidou, M. (2021) Implementation of Particle Swarm Optimization Algorithm in Matlab Code for Hyperelastic Characterization. World ...

ABSTRACT: The study of the mechanical behavior of skin tissue is essential for various biomedical applications, ranging from reconstructive surgery to the design of medical devices. This work compares ...
Scientific Research Publishing

Wang, H. and Yan, X. (2015) Optimizing the Echo State Network with a Binary Particle Swarm Optimization Algorithm. Knowledge-Based Systems, 86, 182-193.

ABSTRACT: This paper is devoted to studying the dynamic event-triggered consensus problem in distributed Echo State Networks (ESNs). The traditional ESN problem can be formulated as a set of ...