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Particle Swarm Optimization Basic Concepts, Variants and Applications in Power Systems

Particle Swarm Optimization Basic Concepts, Variants and Applications in Power Systems

... et al.: PARTICLE SWARM OPTIMIZATION: BASIC CONCEPTS, VARIANTS AND APPLICATIONS IN POWER SYSTEMS [30] W Hua, H Sasaki, J Kubokawa, and R Yokoyama, “An interior point nonlinear programming for ... generator maintenance scheduling,” in Proc IEEE Swarm Intell Symp., Apr 2003, pp 167–173 DEL VALLE et al.: PARTICLE SWARM OPTIMIZATION: BASIC CONCEPTS, VARIANTS...

Ngày tải lên: 22/09/2016, 20:24

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Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

Data Mining Classification: Basic Concepts, Decision Trees, and Model Evaluation Lecture Notes for Chapter 4 Introduction to Data Mining pptx

... same data! 10 © Tan,Steinbach, Kumar Introduction to Data Mining Decision Tree Classification Task Decision Tree © Tan,Steinbach, Kumar Introduction to Data Mining Apply Model to Test Data Test Data ... P(C2) = 4/ 6 Error = – max (2/6, 4/ 6) = – 4/ 6 = 1/3 Introduction to Data Mining 43 Comparison among Splitting Criteria For a 2-class problem: © Tan...

Ngày tải lên: 15/03/2014, 09:20

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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

... 159 3 56 357 68 9 Introduction to Data Mining 367 368 22 Subset Operation Using Hash Tree Hash Function transaction 1+ 23 56 2+ 3 56 12+ 3 56 1,4,7 3+ 56 3 ,6, 9 2,5,8 13+ 56 234 567 15+ 145 1 36 345 ... 159 Introduction to Data Mining 3 56 357 68 9 367 368 23 Subset Operation Using Hash Tree Hash Function transaction 1+ 23 56 2+ 3 56 12+ 3 56 1,4,7 3+ 56 3 ,6, 9...

Ngày tải lên: 15/03/2014, 09:20

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Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot

Data Mining Cluster Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 8 Introduction to Data Mining pot

... Tan,Steinbach, Kumar Introduction to Data Mining Partitional Clustering Original Points © Tan,Steinbach, Kumar A Partitional Clustering Introduction to Data Mining Hierarchical Clustering p1 p2 Traditional ... e.g., autocorrelation Dimensionality Noise and Outliers Type of Distribution © Tan,Steinbach, Kumar Introduction to Data Mining 18 Clustering Algorithms K-m...

Ngày tải lên: 15/03/2014, 09:20

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zeh. decoherence, basic concepts and interpretation(34s)

zeh. decoherence, basic concepts and interpretation(34s)

... = c1 |1 + c2 |2 , where the states |1 , |2 , and (all) |α can be observed as phys- Basic Concepts and their Interpretation ically different states, and distinguished from one another in an appropriate ... discrete quanta and stochastic quantum jumps According to the theory of decoherence, these effective concepts “emerge” as a consequence of the superposition principle when univ...

Ngày tải lên: 24/04/2014, 17:13

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Basic Concepts and Terminology

Basic Concepts and Terminology

... of Technology, Faculty of Mechanical Engineering Basic Concepts and Terminology Nguyen Tan Tien Control System Technology 1.03 Basic Concepts and Terminology §1 Introduction - A control system ... 1.25 Basic Concepts and Terminology §4 Closed-Loop Control HCM City Univ of Technology, Faculty of Mechanical Engineering Nguyen Tan Tien Control System Technology 1.26 Basi...

Ngày tải lên: 29/10/2014, 07:00

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