Download Intelligent Computing Systems: First International by Anabel Martin-Gonzalez, Victor Uc-Cetina PDF

By Anabel Martin-Gonzalez, Victor Uc-Cetina

This booklet includes the reviewed, authorised contributions of the 1st overseas Symposium on clever Computing structures (ISICS)

that was once held in Merida (Mexico) from 16-18 March 2016.

We acquired 25 submissions from thirteen international locations. each one submission have been evaluated by means of a minimum of 3 individuals of this system Committee and exterior reviewers. according to those reports, 12 papers have been chosen for lengthy oral presentation. as well as the contributed papers, 4 keynote speaker shows have been integrated within the convention program.

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Additional info for Intelligent Computing Systems: First International Symposium, ISICS 2016, Mérida, México, March 16-18, 2016, Proceedings

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There are two types of fuzzy inference systems (FIS): Mamdani [15] and Sugeno [16]; Mamdani being more PVM Temperature Estimation: ANN vs ANFIS 60 55 50 Duty Cycle (d) 45 40 35 30 25 20 0 100 200 300 400 500 600 Samples 700 800 900 1000 Fig. 4. Graphical representation of the duty cycle.

The accuracy is compared for each noise level separately. Each participant contributes with an average accuracy of his choices for each noise type and level separately. A collection of these accuracies achieved by all tested subjects is used to compute mean and standard deviation, which are compared with values obtained from tests of 20 LeNet models in the same experimental setup. 1 Results Dropout A two LeNet models (see Table 1) were trained with dropout regularization and tested for resistance to gradient sign adversarial noise.

Time is increased (line 6). The selection of individuals from population P at time i is performed (line 7), the mutation-crossover processes is performed on the population P at time i (line 8), the evaluation of population P at time i is performed (line 9). Finally the [best individuall,r,t1 ,t2 ]NC (solution) is returned. 3 Study Cases The complexity of academic schedules is due to the resources to be assigned to a set of courses, and the courses’s specific characteristics. The following paragraphs describe the instances considered in this work.

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