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

 

 

 

 

 

 

 

 

 

 

 

 

 

attention in these areas to your smart phone. We can all agree that some undefined subset of the technology we carry around in our most personal computer is very useful. Maybe we can also all agree that some other subset of the phone’s technology is not at all useful, so long as these subsets remain undefined, allowing each of us to preserve our personal likes and dislikes. So, we have established that there is some unspecified probability that we all use smartphones and consider them useful. How

of unnecessary chatter, and since that chatter is distracting, many pilots turn the volume so far down as to make it silent. Of course, it would be against aviation regulations to actually turn off the channel, but lowering the volume situationally is allowed. Most pilots would tell you that if they reduce the volume during chatter, they will certainly increase it again as soon as they notice a need for it. This, of course, assumes that they will notice the need. No one has said that these two

. . . . . . . . Francisco Mart´ın-Fern´ andez and Pino Caballero-Gil 161 System Identification of High Impact Resistant Structures . . . . . . . . . . . . . Yeesock Kim, K. Sarp Arsava, and Tahar El-Korchi 169 Spikes Monitors for FPGAs, an Experimental Comparative Study . . . . . . Elena Cerezuela-Escudero, Manuel Jesus Dominguez-Morales, Angel Jim´enez-Fern´ andez, Rafael Paz-Vicente, Alejandro Linares-Barranco, and Gabriel Jim´enez-Moreno 179 On Second Language Tutoring through Womb

the most relevant factors used to characterize pitting corrosion [11]. This parameter is defined as the potential at which current density suffers an abrupt increase. It can be determined based on polarization curves as the potential at which current density is 100μA/cm2 [12]. All the polarization tests were carried out using a Potentiostate PARSAT 273. For each of the 73 sample, the potential and current density values registered during the tests were plotted on semi-logarithmic scale to

Acknowledgement. With partial support from Spain’s grant TIN2010-21575C02-01 and the UAM–ADIC Chair for Machine Learning. The first author is also supported by an FPI–UAM grant and kindly thanks the Applied Mathematics Department of Yale University for receiving her during her visits. The second author is supported by the FPU–MEC grant AP2008-00167. References 1. Baldi, P., Brunak, S., Chauvin, Y., Andersen, C., Nielsen, H.: Assessing the Accuracy of Prediction Algorithms for Classification: An

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