Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohamad Teshnelab"'
Publikováno v:
SMC
In this paper, a new algorithm is presented in using Multi Layer Perceptron (MLP) to predict Ischemia diseases by Electrocardiogram (ECG) signals. The process would be very difficult due to non-stationary and nonlinear characteristics of ECG signals.
Publikováno v:
ICNC
In this paper, a new algorithm is presented in using Multi Layer Perceptron (MLP) and Radial Base Function (RBF) to predict Ischemia diseases by Electrocardiogram (ECG) signals. The process would be very difficult due to non-stationary and nonlinear
Publikováno v:
SMC
This paper compares different classification methods of ECG signals including their accuracies. First of all , Preprocessing for ECG signal is necessary in order to detect QRS complex. Then, with the intention of extract influential features in Ische
Publikováno v:
SMC
In this paper, a novel algorithm to make use of Adaptive Neuro Fuzzy Interference System(ANFIS) in order to predict Ischemia diseases in Electrocardiogram(ECG) signals is presented. Pre-processing for ECG signal has been performed in order to detect
The anti-lock braking systems installed on vehicles for safe and effective braking, are high-order nonlinear and timevariant. Using fuzzy logic controllers increase efficiency of such systems, but impose a high computational complexity as well. The m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::815192918417c5e38559948b256b1c35
Autor:
Navin, Ahmad Habibizad, Fesharaki, Mehdi Naghian, Mirkamal Mirnia, Teshnelab, Mohamad, Shahamatnia, Ehsan
In this paper we introduce new data oriented modeling of uniform random variable well-matched with computing systems. Due to this conformity with current computers structure, this modeling will be efficiently used in statistical inference.
{"ref
{"ref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5f80d4257e74d034eaef6e8adc025ec