Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Proceedings, Part 1

Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Proceedings, Part 1

Ignacio Rojas, Gonzalo Joya, Joan Cabestany

Language: English

Pages: 686

ISBN: 2:00206115

Format: PDF / Kindle (mobi) / ePub

This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications

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the skull of our proto-prosimian protagonist. It would be small, that is, in comparison to modern humans, but vastly bigger in comparison to earlier creatures, if it had existed in their skulls at all. Using two separate parts of the brain simultaneously, the creature is processing input in two different ways. Let’s try to imagine it in more detail. You are a proto-prosimian sitting in the crook of a branch about sixty-five million years ago. Your hands have fingers that curve only inwards, and

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the decision taken. Finally it can also show graceful performance degradation in situations where only a subset of neural networks in the ensemble are performing correctly [12]. Two strategies are needed to build an ensemble system: diversity strategy and combination strategy. Specifically we use BPN ensembles with n members, concretely some of the BPNs from the first proposed system with diverse character in the input space. The combination strategy used is the very straightforward Simple Majority

probability of error in the information provided, avoiding the need to retransmit damaged packages. These criteria should be imposed over the ones, currently applied, based on awarding the sharing. There are several metrics that provide information about resources optimization and the warranty of the delivering of packages, which can be used as criteria for selecting the node server. Among them, the simplest is the number of hops. This metric, additive in nature, is used to find the shortest

Cabestany (Eds.): IWANN 2013, Part I, LNCS 7902, pp. 144–151, 2013. © Springer-Verlag Berlin Heidelberg 2013 Performance Evaluation over Indoor Channels 145 algorithms exploit the statistical independence of the transmitted signals and require to estimate Higher Order Statistics (HOS). For this reason, the computational load of unsupervised decoders is considerably higher than that exhibited by the supervised ones. In order to reduce the computational load of decoding, different strategies to

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