By Bernadete Ribeiro, Rudolf F. Albrecht, Andrej Dobnikar, David W. Pearson, Nigel C. Steele
The papers during this quantity current theoretical insights and file useful functions either for neural networks, genetic algorithms and evolutionary computation. within the box of usual computing, swarm optimization, bioinformatics and computational biology contributions are not any much less compelling. a big variety of contributions record purposes of neural networks to procedure engineering, robotics and keep an eye on. Contributions additionally abound within the box of evolutionary computation quite in combinatorial and optimization difficulties. Many papers are devoted to computing device studying and heuristics, hybrid clever platforms and delicate computing functions. a few papers are dedicated to quantum computation. moreover, kernel established algorithms, capable of remedy initiatives except class, signify a revolution in trend popularity bridging latest gaps. additional themes are clever sign processing and machine imaginative and prescient.
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Extra info for Adaptive and Natural Computing Algorithms: Proceedings of the 7th International Conference in Coimbra, Portugal, March 21-23 2005
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Perovich S. (2004) Considering the special trans function theory approach to the probability estimation (submitted to the Statistics and Probability Letters) [8] Perovich S. (2004) Research monograph - The Special Trans Function Theory, University of Montenegro 33 The Analytical Analysis of Hopfleld Neuron Parameters by the Application of Special Trans Function Theory S. M. Perovich1, S. I. Bauk2, N. Konjevic2 department of Electrical Engineering, University of Montenegro 2 Faculty of Maritime Studies, University of Montenegro Abstract The subject of the theoretical analysis presented in the paper is Hopfield neuron electronic model modification based upon capacitor replacement with an inverse polarized diode.
The average number of tristrips obtained by HTGEN and FTSG are summarized in Table 1 where 10 random models were used for each grid size b = 15,25,35. The results from HTGEN were further averaged for each model over 10 trials of simulated annealing applied for three different initial temperatures T^ and stopping criteria e. The corresponding average convergence times r* together with the running times in seconds (on common PC) increase as T ( o ) increases (and e decreases). 28s) 67 187 373 the trade-off between the running time and the quality of stripification.
O. cz Abstract The important task of generating the minimum number of sequential triangle strips (tristrips) for a given triangulated surface model is motived by applications in computer graphics. This hard combinatorial optimization problem is reduced to the minimum energy problem in Hopfield nets by a linear-size construction. e. Boltzmann machine) which is implemented in a program HTGEN can be used for computing the semi-optimal stripifications. Practical experiments confirm that one can obtain much better results using HTGEN than by a leading stripification program FTSG although the running time of simulated annealing grows rapidly near the global optimum.