Based on improved Elman neural network, establish soft sensor model for the station boiler pollution monitoring, which provides a theoretical basis for boiler soot blowing optimization strategy. Intelligent soot-blowi...
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One of the major architectural components shared between cognitive radios and networks is a cognitive engine supporting a cognitive process. Many of the decision making will need an optimization core for determining t...
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This study develops a methodology based on simulation-optimization to derive optimal combined operation plans for the management of production and barrier wells in a coastal aquifer in order to ensure the sustainable ...
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This study develops a methodology based on simulation-optimization to derive optimal combined operation plans for the management of production and barrier wells in a coastal aquifer in order to ensure the sustainable use of the fresh water resource. A numerical model for the simulation of saltwater intrusion process, a neural network based meta-model and a multi-objective genetic algorithm are used in a linked simulation-optimization approach to develop the management model. The pumping strategies derived using the management model was found to be effective in finding optimal and sustainable operation strategies for coastal well fields by controlling saltwater intrusion.
The frame and function designs of the integrated system of visual calculation for the throat capacity of railway stations is put forward, and the networkoptimization model of throat operation arrangement and the comp...
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In a cognitive network, secondary users can coexist with primary users by opportunistically exploiting the frequency bands of primary users. However, secondary users should constrain themselves to avoid interference t...
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For the characters of the City of Kunming' trunk road, this paper proposed a model of one-way green wave coordination control based on fuzzy neural network, from the optimization of the cycle, offset and split of ...
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Topology optimization of P2P overlays has become an increasingly important issue in recent years. P2P systems today have an increased number of legal applications, but they still fail to meet two important requirement...
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This paper considers the minimum connection problem in networks with uncertain data. In such a network it is assumed that one can establish a link e by paying a cost c(e) in a given interval [c(e)(-), c(e)(+)] while t...
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This paper considers the minimum connection problem in networks with uncertain data. In such a network it is assumed that one can establish a link e by paying a cost c(e) in a given interval [c(e)(-), c(e)(+)] while taking a risk (c(e)(+) - c(e))/(c(e)(+) - c(e)(-)) of link failure. We develop polynomial time algorithms for minimum cost network connection with paths or spanning trees under risk-sum constraints. (C) 2009 Elsevier B.V. All rights reserved.
This work attempted on developing soft sensor for prediction of biopolymer molecular weight using neural network as the tool. Molecular weight is a parameter that cannot be measured online whereas it is difficult for ...
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The proceedings contain 853 papers. The topics discussed include: a curvature-based automatic registration algorithm for the scattered points;a design of M-channels lifting wavelet filter in signal processing;a design...
ISBN:
(纸本)9780769542966
The proceedings contain 853 papers. The topics discussed include: a curvature-based automatic registration algorithm for the scattered points;a design of M-channels lifting wavelet filter in signal processing;a design of wireless intelligent control system for service robots;a dictionary-based approach for Thai text to speech (TTTS);a discrete particle swarm optimization algorithm for assembly line balancing problem of type 1;effect of MgO dopant on structure and performance of mesocarbon microbead;effects of different forms inorganic nitrogen on aqueous photolysis of fipronil;electromagnetic active vehicle suspension system;electromagnetic compatibility design of intelligent circuit breaker;research on intelligent PID control strategy of thermal control object;research on inverted pendulum networkcontrol technology;and research on key techniques of visual simulation of automobile engine based on virtual reality technology.
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