Download Computer and Information Sciences - ISCIS 2004: 19th by Erol Gelenbe (auth.), Cevdet Aykanat, Tuǧrul Dayar, İbrahim PDF

By Erol Gelenbe (auth.), Cevdet Aykanat, Tuǧrul Dayar, İbrahim Körpeoğlu (eds.)

The sequence of ISCIS (International Symposium on desktop and data Sciences) symposia were held every year on the grounds that 1986, in most cases in Turkey and sometimes in a foreign country. it's the major machine technology and engineering assembly geared up by means of Turkish lecturers and was once based by means of Erol Gelenbe. every year ISCIS draws a signi?cant variety of foreign individuals from worldwide. The nineteenth ISCIS was once equipped by way of Bilkent collage, division of machine Engineering, and was once held in Kemer-Antalya, Turkey in the course of 27–29 October 2004. For ISCIS 2004, a complete of 335 papers went in the course of the evaluation approach and lots of top of the range papers competed for attractiveness. This quantity of the Springer Lecture Notes in desktop technological know-how (LNCS) sequence includes a hundred of these papers that widely fall into the next parts of curiosity: arti?cial int- ligence and computing device studying, special effects and consumer interfaces, desktop networksand safety, computing device imaginative and prescient and picture processing,databasesystems, modeling and function overview, normal languageprocessing, parallel and disbursed computing, real-time regulate functions, software program engineering and programming structures, and conception of computing.

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Extra info for Computer and Information Sciences - ISCIS 2004: 19th International Symposium, Kemer-Antalya, Turkey, October 27-29, 2004. Proceedings

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Braunstingl et al. [4] used Fuzzy Logic Controllers and GA’s for the navigation of an autonomous mobile robot. The perceptual information of the sensors are passed to the fuzzy system without modeling the walls or obstacles of an environment. The rule base of the fuzzy system is designed by manually and then a GA is used to find the optimum membership functions. Ant Colony Optimization (ACO) algorithm is one of the most popular metaheuristic approaches for the solution of complex optimization problems [5–7].

The supervision in the algorithm shows itself while determining the weights of attributes and during the process of developing memory cells in the training by taking the class of the input data into account. AWAIS is a two-level classification system in which attribute weights of each class are formed in one level and a training procedure with these weights takes place at the other. 14 et al. 1 Attribute Weighting In most real valued shape-space representations, the distance between two points is calculated by the Euclidean distance criteria (Eq.

The error is computed based on mean square error (MSE) [15]. Fig. 2. 000 iterations. After the off-line neural network training is finished, the neural network, which works online, is coded with obtained synaptic weights as seen in Figure 2. The neural network includes 20 neurons in the hidden layer, and it has been tried to obtain the neural network controller with the least number of perceptron in the hidden layer. An example of the obtained torque curve has been given in Figure 3. Rasit Koker and Abdullah Ferikoglu 36 Fig.

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