10,943 research outputs found
Metaheuristic Algorithms for Convolution Neural Network
A typical modern optimization technique is usually either heuristic or
metaheuristic. This technique has managed to solve some optimization problems
in the research area of science, engineering, and industry. However,
implementation strategy of metaheuristic for accuracy improvement on
convolution neural networks (CNN), a famous deep learning method, is still
rarely investigated. Deep learning relates to a type of machine learning
technique, where its aim is to move closer to the goal of artificial
intelligence of creating a machine that could successfully perform any
intellectual tasks that can be carried out by a human. In this paper, we
propose the implementation strategy of three popular metaheuristic approaches,
that is, simulated annealing, differential evolution, and harmony search, to
optimize CNN. The performances of these metaheuristic methods in optimizing CNN
on classifying MNIST and CIFAR dataset were evaluated and compared.
Furthermore, the proposed methods are also compared with the original CNN.
Although the proposed methods show an increase in the computation time, their
accuracy has also been improved (up to 7.14 percent).Comment: Article ID 1537325, 13 pages. Received 29 January 2016; Revised 15
April 2016; Accepted 10 May 2016. Academic Editor: Martin Hagan. in Hindawi
Publishing. Computational Intelligence and Neuroscience Volume 2016 (2016
Quantum annealing for the number partitioning problem using a tunable spin glass of ions
Exploiting quantum properties to outperform classical ways of
information-processing is an outstanding goal of modern physics. A promising
route is quantum simulation, which aims at implementing relevant and
computationally hard problems in controllable quantum systems. Here we
demonstrate that in a trapped ion setup, with present day technology, it is
possible to realize a spin model of the Mattis type that exhibits spin glass
phases. Remarkably, our method produces the glassy behavior without the need
for any disorder potential, just by controlling the detuning of the spin-phonon
coupling. Applying a transverse field, the system can be used to benchmark
quantum annealing strategies which aim at reaching the ground state of the spin
glass starting from the paramagnetic phase. In the vicinity of a phonon
resonance, the problem maps onto number partitioning, and instances which are
difficult to address classically can be implemented.Comment: accepted version (11 pages, 7 figures
- …