Although mathematically elegant, back-propagation isn't perfect. Instead consider using particle swarm optimization (PSO) to train your neural network; here's how.

Additionally, the Particle Swarm Optimization (PSO) allows for global optimization of fuzzy controller parameters and rule weights, providing precise regulation for electric motor braking energy ...

Multi-swarm optimization (MSO) is a powerful variation of particle swarm optimization. Understanding how MSO works and how to implement it can be a valuable addition to your developer toolkit.

Distributed optimization has been extensively studied in the past decades due to its wide applications. Most of them aim to optimizing single-objective function. However, in real-world applications ...

Novel 'cuckoo search algorithm' beats particle swarm optimization in engineering design Date: May 28, 2010 Source: Inderscience Summary: The familiar early summer call of the cuckoo has inspired ...

Qi Xiong, Hongbo Zhang, Qiusheng Rong, Path Planning Based on Improved Particle Swarm Optimization for AUVs, Journal of Coastal Research, SPECIAL ISSUE NO. 111. Today’s Modern Coastal Society: ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

For small sample Gaussian noise with non-equal interval sampling, an adaptive function derived from mean square error is constructed and iteratively solved by particle swarm optimization algorithm.