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在“
自然资源管理
”中,
命中:
13
条,耗时:小于0.01 秒
1.
Are Evolutionary Algorithms Effective in Calibrating Different Artificial Neural Network Types for Streamwater Temperature Prediction?
作者:
Adam P. Piotrowski
;
Maciej J. Napiorkowski
;
Monika Kalinowska…
关键词:
Streamwater temperature prediction
;
Temperate climate zone
;
Artificial neural network
;
Differential evolution
;
Particle
swarm
optimization
;
Genetic algorithm
刊名:Water Resources Management
出版者:Springer Netherlands
年:2016
2.
Estimation of the Change in Lake Water Level by Artificial
Intelligence
Methods
作者:
Meral Buyukyildiz
;
Gulay Tezel
;
Volkan Yilmaz
关键词:
Adaptive network
;
based fuzzy inference system
;
Artificial neural networks
;
Lake Beysehir
;
Particle
swarm
optimization
;
Support vector regression
;
Water level
刊名:Water Resources Management
年:2014
3.
Development of a biology inspired manufacturing system for machining transmission cases
作者:
H. S. Park (126) N. H. Tran (126)
关键词:
Disturbance
;
Cognitive agent
;
Swarm
intelligence
;
Transmission case
刊名:International Journal of Automotive Technology
年:2013
4.
The Artificial Bee Colony Algorithm Applied to a Self-adaptive Grid Resources Selection Model
作者:
María Botón-Fernández (24) Miguel á. Vega-Rodríguez (25) Francisco Prieto Castrillo (24)
关键词:
Artificial Bee Colony
;
Optimization
;
Grid Computing
;
Self
;
adaptive Ability
;
Swarm
Intelligence
刊名:Lecture Notes in Computer Science
年:2013
5.
Computational
intelligence
-based energy management for a large-scale PHEV/PEV enabled municipal parking deck
作者:
Wencong Su
;
wsu2@ncsu.edu
;
Mo-Yuen Chow chow@ncsu.edu
关键词:
Plug-in Hybrid Electric Vehicle (PHEV)
;
Plug-in Electric Vehicle (PEV)
;
Electric Vehicle (EV)
;
Smart Grid
;
Estimation of Distribution Algorithm (EDA)
;
Particle
Swarm
Optimization (PSO)
刊名:Applied Energy
年:2012
6.
Nonconvex resource control and lifetime optimization in wireless video sensor networks based on chaotic particle
swarm
optimization
作者:
Meiqin Tanga
;
meiqintang@yahoo.com.cn
;
Yalin Xina
;
xyl_aya@sohu.com
;
Jing Lib
;
jing.li.2003@gmail.com
;
Jingang Zhaia
;
zhaijingang@263.com
关键词:
Wireless video sensor networks
;
Nonconvex optimization
;
PSO
;
Cooperative coevolution
;
Power
;
Rate
;
Lifetime control
刊名:Applied Soft Computing Journal
年:2013
7.
Improvement of energy demand forecasts using
swarm
intelligence
: The case of Turkey with projections to 2025
作者:
Alper Ü
;
nler
关键词:
Energy demand
;
Swarm
intelligence
;
Turkey
刊名:Energy Policy
年:2008
8.
A biologically motivated approach towards modular and robust low-level sensor fusion for application in agricultural machinery design
作者:
Sebastian Blanka
;
BlankSebastian@JohnDeere.com
;
Tobias Fö
;
hstb
;
foehst@cs.uni-kl.de
;
Karsten Bernsb
;
berns@cs.uni-kl.de
关键词:
Model-free sensor fusion
;
Swarm
intelligence
;
Fuzzy voting
刊名:Computers and Electronics in Agriculture
年:2012
9.
Multiobjective Pump Scheduling Optimization Using Harmony Search Algorithm (HSA) and Polyphonic HSA
作者:
Ioannis P. Kougias (1) Nicolaos P. Theodossiou (1)
关键词:
Water management
;
Pump scheduling
;
Multiobjective optimization
;
Pareto dominance
;
Harmony Search Algorithm
刊名:Water Resources Management
年:2013
10.
Synthesis of near-optimal topologically constrained property-based water network using
swarm
intelligence
作者:
Hul Seingheng
;
Raymond R. Tan
;
Joseph Auresenia
;
Tetsuo Fuchino and Dominic C. Y. Foo
关键词:
Process integration
;
Property integration
;
Mixed integer non
;
linear programming
;
Particle
swarm
optimization
刊名:Clean Technologies and Environmental Policy
出版者:Springer Berlin / Heidelberg
年:2007
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