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Description: use GA to deal with 模糊期望值模型问题例题-use GA to deal with the problem fuzzy expectations model example
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Size: 23643 |
Author: 蜻蜓 |
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Description: use GA to deal with 模糊机会约束规划问题例题-use GA to deal with fuzzy opportunity constrained programming examples
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Size: 22312 |
Author: 蜻蜓 |
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Description: use GA to deal with 模糊随机规划例题-use GA to deal with fuzzy stochastic programming examples
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Size: 22593 |
Author: 蜻蜓 |
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Description: use GA to deal with 随机机会约束规划-use GA to deal with random chance Constraint Programming
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Size: 24576 |
Author: 蜻蜓 |
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Description: use GA to deal with 模糊期望值模型问题例题-use GA to deal with the problem fuzzy expectations model example
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Size: 23552 |
Author: 蜻蜓 |
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Description: use GA to deal with 模糊机会约束规划问题例题-use GA to deal with fuzzy opportunity constrained programming examples
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Size: 22528 |
Author: 蜻蜓 |
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Description: use GA to deal with 模糊随机规划例题-use GA to deal with fuzzy stochastic programming examples
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Size: 22528 |
Author: 蜻蜓 |
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Description: SIMULINK仿真中做了模糊控制自整定PID控制器和常规PID控制器对同一个一阶惯性环节的控制仿真，-SIMULINK simulation of fuzzy control has done a self-tuning PID controller and conventional PID controller with a first-order inertial link in the control simulation,
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Size: 8192 |
Author: zhangbin |
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Description: this article can guide you to apply fuzzy ga to a model
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Size: 393216 |
Author: maajid |
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Description: 遗传算法改进的模糊C均值聚类的matlab源程序,可以运行,格式需要更改-Improved genetic algorithm fuzzy C means clustering matlab source code, you can run, you need to change the format
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Size: 5120 |
Author: 李慧 |
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Description: a gain-adjusted fuzzy PI/PD (GFPIPD) adaptive controller is proposed. The proposed controller first
constructs fuzzy rules for fuzzy PD/PI controller with the fixed weighting. Then the fuzzy rules, which self-learning their parameters for a desired condition, are learned through the accumulated GA. Finally, fuzzy gain-adjusted mechanism is further learned through the accumulated GA for the variations
of a measured system dynamics. The proposed GFPIPD controller is tested by the high order systems with time delay and variable system dynamics. The experimental results illustrate the performance of the proposed method.
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Size: 166912 |
Author: dp |
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Description: In this paper, an attractive approach for teaching genetic algorithm has been
presented. This approach is based primarily on using MATLAB in
implementing the genetic operators: crossover, mutation, and selection. An
advantage of using such an approach is that the student becomes familiar with
some advanced features of MATLAB, and furthermore, with the availability of
other MATLAB Toolboxes such as The Control Systems Toolbox, Neural
Network Toolbox and Fuzzy Logic Toolbox, it is possible for the student to
develop genetic algorithm-based approaches to designing intelligent systems,
which could lead to his/ her final year or MSc project.
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Size: 98304 |
Author: jacob1717 |
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Description: 一种新的基于遗传算法的模糊C-均值聚类的RBF神经网络-A New RBF Neural Network with GA-based Fuzzy C-Means Clustering Algorithm for SINS Fault Diagnosis
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Size: 93184 |
Author: 徐文 |
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Description: A document introducing the TSK-type recurrent fuzzy network with GA.
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Size: 307200 |
Author: Bao |
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Description: Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM--Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM-NN
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Size: 91136 |
Author: mohsen |
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Description: Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM--Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM-NN
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Size: 13312 |
Author: mohsen |
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Description: Abstract—This paper proposes a new strategy to meet the controllable
heating, ventilation, and air conditioning (HVAC) load
with a hybrid-renewable generation and energy storage system.
Historical hourly wind speed, solar irradiance, and load data are
used to stochastically model the wind generation, photovoltaic
generation, and load. Using fuzzy C-Means (FCM) clustering,
these data are grouped into 10 clusters of days with similar data
points to account for seasonal variations. In order to minimize
cost and increase efficiency, we use a GA-based optimization
approach together with a two-point estimate method. Minimizing
the cost function guarantees minimum PV and
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Size: 1073152 |
Author: senthil |
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Description: This algorithm is GA-fuzzy that is process performance GA. work with this algorithm very simple.
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Size: 473088 |
Author: rezanasiripour |
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Description: A Genetic Fuzzy System (GFS) is basically a fuzzy system augmented by a learning process based on a Q3
genetic algorithm (GA). Fuzzy systems have demonstrated their ability to solve different kinds of problems in various application domains. Currently, there is an increasing interest to augment fuzzy systems
with learning and adaptation capabilities. Two of the most successful approaches to hybridize fuzzy systems with learning and adaptation methods have been made in the realm of soft computing
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Size: 784384 |
Author: ddd |
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Description: 运输成本、货损成本、时间成本等的配送成本最小化和以模糊时间窗进行量化的客户满意度最大化的多目标优化模型，采用改进遗传算法求解带模糊时间窗冷链配送问题。-A multi-objective optimization model to minimize the cost of transport and distribution costs, damage costs, costs of time and to quantify fuzzy time window to maximize customer satisfaction, using the improved genetic algorithm with fuzzy time window cold chain distribution.
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Size: 2048 |
Author: 吴娟 |
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