بدائل البحث:
algorithm basis » algorithm analysis (توسيع البحث)
algorithm cep » algorithm _ (توسيع البحث), algorithm fa (توسيع البحث), algorithm goa (توسيع البحث)
cep function » cost function (توسيع البحث)
algorithm basis » algorithm analysis (توسيع البحث)
algorithm cep » algorithm _ (توسيع البحث), algorithm fa (توسيع البحث), algorithm goa (توسيع البحث)
cep function » cost function (توسيع البحث)
-
1
Radial basis function networks for contingency analysis of bulkpower systems
منشور في 1999"…Radial basis function networks (RBFNs) are used for contingency evaluation of bulk power system. …"
احصل على النص الكامل
احصل على النص الكامل
article -
2
A fuzzy basis function network for generator excitation control
منشور في 1997"…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper. …"
احصل على النص الكامل
احصل على النص الكامل
article -
3
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
منشور في 2024"…For this purpose, a combination of Decisive Red Fox (DRF) Optimization and Descriptive Back Propagated Radial Basis Function (DBRF) classification are developed in the proposed work. …"
-
4
BUC algorithm for iceberg cubes
منشور في 2003"…In this paper, we implement the Bottom-Up Computation (BUC) algorithm for computing Iceberg cubes and conduct a sensitivity analysis of BUC with respect to the probability density function of the data. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
5
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…The overall cost function has been developed using fuzzy logic. Several variants of the algorithm are proposed and compared together via simulation and experimental results are provided. r 2002 Elsevier Science Ltd. …"
احصل على النص الكامل
article -
6
Topology design of switched enterprise networks using a fuzzy simulated evolution algorithm
منشور في 2020"…The overall cost function has been developed using fuzzy logic. Several variants of the algorithm are proposed and compared together via simulation and experimental results are provided. r 2002 Elsevier Science Ltd. …"
احصل على النص الكامل
article -
7
Rigorous Phase Equilibrium Calculation Methods for Strong Electrolyte Solutions: The Isothermal Flash
منشور في 2022"…In this way, an augmented function (Lagrange function) is formulated which serves as the basis for the equations that govern phase equilibrium. …"
-
8
An Artificial Neural Network for Online Tuning of Genetic Algorithm Based PI Controller for Interior Permanent Magnet Synchronous Motor–Drive
منشور في 2006"…In the optimization procedure a performance index is developed to reflect the minimum speed deviation, minimum settling time and zero steady-state error. A radial basis function network (RBFN) is utilized for online tuning of the PI controller parameters to ensure optimum drive performance under different disturbances. …"
احصل على النص الكامل
article -
9
Android Malware Detection Using Machine Learning
منشور في 2024"…It was found that SVM using radial basis function (RBF) kernel achieved the highest performance with an accuracy of 99.5%. …"
احصل على النص الكامل
article -
10
Contingency analysis of bulk power system using neural networks
منشور في 1998"…Radial basis function networks (RBFNs) are used for the contingency evaluation of bulk power systems. …"
احصل على النص الكامل
احصل على النص الكامل
article -
11
Adaptive cooperative control of nonlinear multi-agent systems with uncertain time-varying control directions and dead-zone nonlinearity
منشور في 2021"…Then, by using the dynamic surface control approach and radial-basis function neural network, an adaptive distributed controller is designed for each follower agent. …"
-
12
A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems
منشور في 1998"…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper to improve power system dynamic stability. …"
احصل على النص الكامل
احصل على النص الكامل
article -
13
Development and Implementation of a Hybrid Intelligent Controller for Interior Permanent Magnet Synchronous Motor Drives
منشور في 2004"…In the optimization procedure a performance index is developed to reflect the minimum speed deviation, minimum settling time and zero steady-state error. A fuzzy basis function network (FBFN) is utilized for online tuning of the PI controller parameters to ensure optimum drive performance under different disturbances. …"
احصل على النص الكامل
article -
14
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
منشور في 2023"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
-
15
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
منشور في 2023"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
16
Distinguishing Between Fake and Real Smiles Using EEG Signals and Deep Learning
منشور في 2020احصل على النص الكامل
doctoralThesis -
17
Wiener-Hammerstein Model Identification-Recursive lgorithms
منشور في 2020"…These algorithms are derived on the basis of minimizing cost functions of the output errors, the equation errors, and the prediction errors. …"
احصل على النص الكامل
article -
18
FoGMatch
منشور في 2019"…Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis