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Advances in Computational Intelligence: 12th International - download pdf or read online

By Ignacio Rojas, Gonzalo Joya, Joan Cabestany

ISBN-10: 3642386784

ISBN-13: 9783642386787

This two-volume set LNCS 7902 and 7903 constitutes the refereed lawsuits of the twelfth overseas Work-Conference on man made Neural Networks, IWANN 2013, held in Puerto de l. a. Cruz, Tenerife, Spain, in June 2013. The 116 revised papers have been conscientiously reviewed and chosen from quite a few submissions for presentation in volumes. The papers discover sections on mathematical and theoretical equipment in computational intelligence, neurocomputational formulations, studying and variation emulation of cognitive features, bio-inspired platforms and neuro-engineering, complex themes in computational intelligence and functions

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

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Every now and then you pause, looking away or tipping your head to one side. These interruptions of your routine happen when you have detected something on the periphery of your attention, something that doesn’t seem to fit an anticipated pattern and so might become important; something that you might need to consider more deeply. You weigh the importance of interrupting your meal and you either return to eating or drop your hands a little and stop chewing so that you can divert more of your cognitive resources to processing the information.

Your ears point outwards, shells cupping and adding directional information. Your hair detects wind movement and you sweep your tail back and forth, to add to your chances of early detection of shifting air currents. Our senses work together to form perceptual units out of these data, grouping them according to characteristics like spatial continuity, chronological coincidence and symmetry. Every now and then you pause, looking away or tipping your head to one side. These interruptions of your routine happen when you have detected something on the periphery of your attention, something that doesn’t seem to fit an anticipated pattern and so might become important; something that you might need to consider more deeply.

Section 2 then elaborates on one problem encountered by the original OP-ELM, in the computation of the pruning criterion. The Leave-One-Out criterion is originally used in the OP-ELM for the pruning, which can be a computationally costly choice. Thanks to the use of a closed form formula (Allen’s PRESS statistic [7]), its computation is nevertheless very fast, but raises numerical problems which possibly “disturb” the pruning strategy. This proposed solution to this situation is by the use of L2 regularization in the OPELM.

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Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Proceedings, Part 1 by Ignacio Rojas, Gonzalo Joya, Joan Cabestany


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