Titlebook: Advances in Swarm Intelligence; First International Ying Tan,Yuhui Shi,Kay Chen Tan Conference proceedings 2010 Springer-Verlag Berlin Hei

ACTIN

Application of the reference model,noisy heart signal are collected form MIT-BIH database. Then signals are transformed to frequency domain and cutoff frequency is calculated. Since heart signals are lowpass frequency, a Finite Impulse Response (FIR) filter is adequate to remove the noise. In the next step, a dataset is configured fo

牽索

outskirts

Coterminous

https://doi.org/10.1007/978-3-642-13498-2algorithms; computational intelligence; data mining; evolution; evolutionary computation; genetic algorit

Cardiac-Output

978-3-642-13497-5Springer-Verlag Berlin Heidelberg 2010

Urgency

Advances in Swarm Intelligence978-3-642-13498-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

FLUSH

Humble

Application of the reference model, proposed. Using subtractive clustering and Particle Swarm Optimization (PSO)-hybrid algorithm as a tool for building the fault diagnosis model, then, the model of fault diagnosis system was used to the circuit fault diagnosis. Simulation results have shown that the method is more effective.

PAEAN

On the Correlations between Fuzzy Variablesibility distribution for the fuzzy variable. In this paper, we seek a similar characterization of the joint possibility distribution for a pair of fuzzy variables. In view of the success of introducing the expected value and variance as fuzzy integrals of appropriate functions of single fuzzy variab

石墨

Modeling Fuzzy Data Envelopment Analysis with Expectation Criterionontains the credibility of fuzzy events in the constraints and the expected value of a fuzzy variable in the objective, the solution process is very complex. Thus, in the case when the inputs and outputs are mutually independent trapezoidal fuzzy variables, we discuss the equivalent nonlinear forms