Results 41 to 50 of about 7,107,100 (382)

The effect of network-topology to propagation on networks [PDF]

2015 54th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2015
6pages ...
Toyota, Norihito, Sakamoto, Tomoharu, Ogura, Fumiho   +2 more
openaire   +2 more sources

The Influence of Genetic Algorithms on Learning Possibilities of Artificial Neural Networks

Computers, 2022
The presented research study focuses on demonstrating the learning ability of a neural network using a genetic algorithm and finding the most suitable neural network topology for solving a demonstration problem.
Martin Kotyrba, Eva Volna, Hashim Habiballa, Josef Czyz   +3 more
doaj   +1 more source

Statistical mechanics of complex networks [PDF]

, 2001
Complex networks describe a wide range of systems in nature and society, much quoted examples including the cell, a network of chemicals linked by chemical reactions, or the Internet, a network of routers and computers connected by physical links.
Adamic, L. A., Adamic, L. A., Adamic, L. A., Albert, R., Albert, R., Albert, R., Albert, R., Albert-László Barabási, Aldous, D., Amaral, L. A. N., Ambjorn, J., Argollo de Menezes, M., Banavar, J. R., Banavar, J. R., Banavar, J. R., Barabási, A.-L., Barabási, A.-L., Barrat, A., Barthélémy, M., Barthélémy, M., Bianconi, G., Bianconi, G., Bianconi, G., Bianconi, G., Bilke, S., Bollobás, B., Bollobás, B., Bornholdt, S., Bornholdt, S., Broder, A., Burda, Z., Burton, R. M., Caldarelli, G., Callaway, D. S., Callaway, D. S., Carlson, J. M., Carlson, J. M., Christensen, K., Chung, F., Cohen, J. E., Cohen, R., Cohen, R., Coleman, J. S., Comellas, F., Crovella, M. E., Derrida, B., Dodds, P. S., Dodds, P. S., Dodds, P. S., Dodds, P. S., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Dorogovtsev, S. N., Doyle, J., Durrett, R. T., Duxbury, P. M., Elowitz, M. B., Enquist, B. J., Enquist, B. J., Erdős, P., Erdős, P., Erdős, P., Faloutsos, M., Farkas, I. J., Fell, D. A., Gardner, T. S., Gleiss, P. M., Goh, K.-I., Granovetter, M. S., Guhr, T., Guimerà, R., Hammersley, J. M., Hara, T., Hartwell, L. H., Havlin, S., Hohenberg, P. C., Hubermann, B. A., Jain, S., Jeong, H., Jeong, H., Jespersen, S., Johansen, A., Keeling, M. J., Kleinberg, J. M., Kolchin, V. F., Krapivsky, P. L., Krapivsky, P. L., Krapivsky, P. L., Kulkarni, R. V., Kullmann, L., Kuperman, M., Lago-Fernández, L. F., Lawrence, S., Lawrence, S., Leath, P. L., Liljeros, F., Lotka, A. J., Luczak, T., Lässig, M., Margulis, G. A., Medina, A., Milgram, S., Molloy, M., Molloy, M., Monasson, R., Moore, C., Moore, C., Moore, E. F., Moore, E. F., Moukarzel, C., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Newman, M. E. J., Pandit, S. A., Pastor-Satorras, R., Rapoport, A., Redner, S., Réka Albert, Savageau, M. A., Scala, A., Schilling, C. H., Simon, H. A., Slanina, F., Slanina, F., Solomonoff, R., Solé, R. V., Solé, R. V., Strogatz, S. H., Tadić, B., Vogelstein, B., Watts, D. J., Weigt, M., West, G. B., Wigner, E. P., Wigner, E. P., Wigner, E. P., Willinger, W., Yook, S.   +149 more
core   +3 more sources

Inverter Probing for Power Distribution Network Topology Processing [PDF]

IEEE Transactions on Control of Network Systems, 2018
Knowing the connectivity and line parameters of the underlying electric distribution network is a prerequisite for solving any grid optimization task.
G. Cavraro, V. Kekatos
semanticscholar   +1 more source

Agent preferences and the topology of networks [PDF]

Physical Review E, 2005
In this paper, a new framework to study weighed networks is introduced. The idea behind this methodology is to consider that each node of the network is an agent that desires to satisfy his/her preferences in an economic sense. Moreover, the formation of a link between two agents depends on the benefits and costs associated to this link.
openaire   +3 more sources

RAINBOW VERTEX CONNECTION NUMBER OF BULL GRAPH, NET GRAPH, TRIANGULAR LADDER GRAPH, AND COMPOSITION GRAPH (P_n [P_1 ])

Barekeng
The rainbow connection was first introduced by Chartrand in 2006 and then in 2009 Krivelevich and Yuster first time introduced the rainbow vertex connection. Let graph be a connected graph.
Muhammad Ilham Nurfaizi Annadhifi, Robiatul Adawiyah, Dafik Dafik, I Nengah Suparta   +3 more
doaj   +1 more source

The Minimum Scheduling Time for Convergecast in Wireless Sensor Networks

Algorithms, 2014
We study the scheduling problem for data collection from sensor nodes to the sink node in wireless sensor networks, also referred to as the convergecast problem. The convergecast problem in general network topology has been proven to be NP-hard.
Changyong(Andrew) Jung, Suk Jin Lee, Vijay Bhuse   +2 more
doaj   +1 more source

Topology Control Algorithm considering Antenna Radiation Pattern in Three-Dimensional Wireless Sensor Networks [PDF]

, 2014
Topology control is a key issue of wireless sensor network to reduce energy consumption and communication collision. Topology control algorithms in three-dimensional space have been proposed by modifying existing two-dimensional algorithms.
Bahramgiri M., Wattenhofer R., Xiong Y.
core   +2 more sources

Distributed Energy-Efficient Topology Control Algorithm in Home M2M Networks

International Journal of Distributed Sensor Networks, 2012
Because machine-to-machine (M2M) technology enables machines to communicate with each other without human intervention, it could play a big role in sensor network systems.
Chao-Yang Lee, Chu-Sing Yang
doaj   +1 more source

Passive network tomography for erroneous networks: A network coding approach

, 2010
Passive network tomography uses end-to-end observations of network communication to characterize the network, for instance to estimate the network topology and to localize random or adversarial glitches.
Chen, Minghua, Jaggi, Sidharth, Yao, Hongyi   +2 more
core   +2 more sources