Download Advances in Computational Intelligence: 12th International by Anastassia Angelopoulou, Alexandra Psarrou, José PDF

By Anastassia Angelopoulou, Alexandra Psarrou, José García-Rodríguez (auth.), Ignacio Rojas, Gonzalo Joya, Joan Cabestany (eds.)

ISBN-10: 3642386814

ISBN-13: 9783642386817

This two-volume set LNCS 7902 and 7903 constitutes the refereed complaints of the twelfth foreign Work-Conference on man made Neural Networks, IWANN 2013, held in Puerto de los angeles Cruz, Tenerife, Spain, in June 2013. The 116 revised papers have been rigorously 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 services, bio-inspired structures and neuro-engineering, complicated issues in computational intelligence and applications.

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Extra resources for Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, Puerto de la Cruz, Tenerife, Spain, June 12-14, 2013, Proceedings, Part II

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4. 2D Ackley’s Function F Fig. 5. 3). For the 2D Ackley’s Function, we aim at finding the global minimum of this function. Each chromosome has 14 bits. The first 7 bits represent x ∈ [-5,5] and the next 7 bits represent y ∈ [-5,5]. 078. 4). For the 2D Shekel’s Foxholes function, we aim at finding the global minimum of this function. Each chromosome has 16 bits. The first 8 bits represent x ∈ [-10,10] and the next 8 bits represent y ∈ [-10,10]. 078. We do the problem on topologies with decreasing links from a fully connected network to a ring.

We can describe the optimum number of similarity thresholds, required for the accuracy of the map for different objects, as the unknown clusters K, and the network parameters as the mixture coefficients WK , with d-dimensional means and covariances ΘK . To do that, we use a heuristic criterion from statistics known as the Minimum Description Length (MDL) [17]. Such criteria take the general form of a prediction error, which consists of the difference of two terms: E = model likelihood − complexity term (5) a likelihood term that measures the model fit and increases with the number of clusters, and a complexity term, used as penalty, that grows with the number of free parameters in the model.

For the 2D Shekel’s Foxholes function, we aim at finding the global minimum of this function. Each chromosome has 16 bits. The first 8 bits represent x ∈ [-10,10] and the next 8 bits represent y ∈ [-10,10]. 078. We do the problem on topologies with decreasing links from a fully connected network to a ring. The results are shown in Fig. 5. From the results on these four benchmark functions, we observe a best performance basin of global exchange rate. 7. We can understand this feature heuristically.

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