Download Advances in Computational Intelligence: Proceedings of by Sudip Kumar Sahana, Sujan Kumar Saha PDF

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By Sudip Kumar Sahana, Sujan Kumar Saha

This quantity includes the complaints of the foreign convention on Computational Intelligence 2015 (ICCI15). This e-book goals to collect paintings from best academicians, scientists, researchers and learn students from around the globe on all points of computational intelligence. The paintings consists usually of unique and unpublished result of conceptual, positive, empirical, experimental, or theoretical paintings in all parts of computational intelligence. Specifically, the most important subject matters lined comprise classical computational intelligence versions and synthetic intelligence, neural networks and deep studying, evolutionary swarm and particle algorithms, hybrid structures optimization, constraint programming, human-machine interplay, computational intelligence for the net analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, go disciplinary subject matters and functions. The contents of this quantity should be of use to researchers and execs alike.

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56 %. References 1. : Implementation of fuzzy logic MPPT control and modified H-bridge inverter in photovoltaic system. In: IEEE Conference Publications on 13–14 Feb 2014 2. : Three-phase three-level grid interactive inverter with fuzzy logic based maximum power point tracking controller. Energy Conv. Manage. 69, 17–26 (2013) 3. : An artificial intelligent controller for a three phase inverter based solar PV system using boost converter. In: 2012 Fourth International Conference on Advanced Computing (ICoAC), pp.

CHEF: cluster head election mechanism using fuzzy-logic in wireless sensor networks. In: 10th international conference on Advanced communication technology, ICACT 2008, vol. 1, pp. 654–659, February 2008 18. : A cluster head selection method for wireless sensor networks based on fuzzy-logic. In: IEEE Region 10 Conference TENCON 2007, pp. 1–4, Oct 2007 19. : An energy aware fuzzy unequal clustering algorithm for wireless sensor networks. IEEE International Conference on Fuzzy Systems (FUZZ), pp.

A node spent its energy for various kinds of operations. 2 Dissipated Energy Fig. 05 0 100 ECPF Proposed Approach 200 300 400 Fig. 6 Network lifetime (FND) First Node Dies(#Round) Number of Nodes 4000 ECPF Proposed Approach 3500 3000 2500 2000 100 200 300 400 Fig. 7 Network lifetime (HNA) Half of Nodes Alive(#Round) Number of Nodes 4500 4400 4300 4200 ECPF Proposed Approach 4100 4000 100 200 300 400 Number of Nodes Fig. 8 Network lifetime (LND) Last Node Dies(#Round) average energy consumption per round.

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