With the rapid advancement of artificial intelligence (AI) technologies, intelligent optimization algorithms have been increasingly applied in supply chain networks. This paper highlights classic ...

Particle Swarm Optimization. Proceedings of ICNN95International Conference on Neural Networks, ... A Modified Particle Swarm Optimization Algorithm. Ai-Qin Mu, De-Xin Cao, Xiao-Hua Wang. Natural ...

Analysis of particle swarm optimization fusion convolutional neural network algorithm Convolutional neural networks have the characteristics of end-to-end, local perception and parameter sharing.

It was observed that the GWO algorithm possesses good exploration and exploitation characteristics when compared to particle swarm optimization, the genetic algorithm, and the cat swarm optimization ...

To solve the problem that subnetwork output cannot be optimally integrated in a modular neural network (MNN), this paper proposes an adaptive particle swarm optimization algorithm for dynamic MNN ...

Using those weights and biases, when the neural network is fed the six training items, the network correctly classifies 5/6 = 0.8333 of the items, as shown in Figure 1. This article explains how ...

Because neural networks are fairly complicated, it's best to learn about PSO by using a simpler problem than training a neural network. Take a look at the screenshot of a demo program in Figure 1, and ...

Abstract: This study presents an evolutionary neural fuzzy network, designed using the functional-link-based neural fuzzy network (FLNFN) and a new evolutionary learning algorithm. This new ...