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

For optimization of real time problems it is difficult to generate equations which are to be optimized. Such problems can be optimized by using Design Optimization in ANSYS. But in many cases, it ...

Abstract: Considering the heavy reliance of traditional adaptive dynamic programming (ADP) algorithms on gradient information and the lack of theoretical guarantees associated with particle swarm ...

Towards the weakness of BP neural network, an efficient PSC ship-selecting model combining improved PSO and SVM algorithm is developed in this paper. The scheme is validated by demonstration analysis ...

Particle swarm optimization isn't usually seen as the first-choice technique for training a neural network but, as James McCaffrey demonstrates, it's a useful alternative. Particle swarm optimization ...

Journal of Coastal Research, SPECIAL ISSUE NO. 110. Recent Developments of Port, Marine, and Ocean Engineering (FALL 2020), pp. 295-298 (4 pages) The arrival of big data is a major challenge for ...