بدائل البحث:
method algorithm » mould algorithm (توسيع البحث)
based methods » based method (توسيع البحث), mixed methods (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
based methods » based method (توسيع البحث), mixed methods (توسيع البحث)
-
1
-
2
-
3
-
4
-
5
A discrete-time learning control algorithm
منشور في 1994"…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
6
Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms
منشور في 2021"…We also developed a binary template matching-based algorithm, which gives 93.64% accuracy 6X faster. …"
-
7
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
منشور في 2022"…It is potential that (AI) Artificial Intelligence as well as (ML) Machine Learning will make this the worst of times, but it also has the potential to be the best of times. …"
احصل على النص الكامل
احصل على النص الكامل
-
8
-
9
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
10
A discrete-time learning control algorithm for a class of linear time-invariant systems
منشور في 1995"…A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
11
Stability improvement of the PSS-connected power system network with ensemble machine learning tool
منشور في 2022الموضوعات: -
12
Discrete-time learning control algorithm for a class of nonlinear systems
منشور في 1995"…Applies a discrete-time learning algorithm to a class of discrete-time varying nonlinear system. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
13
-
14
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
منشور في 2022"…Thus, to identify the best load forecasting method in cluster microgrids, this article implements a variety of machine learning algorithms, including linear regression (quadratic), support vector machines, long short-term memory, and artificial neural networks (ANN) to forecast the load demand in the short term. …"
-
15
Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
منشور في 2022"…Optimization algorithms are one of the most popular methods for solving NP-hard problems. …"
احصل على النص الكامل
-
16
A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems
منشور في 2005"…This article presents a stochastic algorithm that computes the learning gain matrix of a “D-type iterative learning control (ILC) algorithm for a class of discrete-time varying nonlinear systems with linear input/output actions having relative degree one. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
17
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
منشور في 2023"…Consequently, scholars have begun to focus on document classification problem, offering various methods to address this issue. Researchers have utilized diverse data sources, such as citations, metadata, content, and hybrids, in their approaches.In these sources, the meta-data-based approach stands out for research paper classification due to its availability at no cost. …"
-
18
Robustness and convergence rate of a discrete‐time learning control algorithm for a class of nonlinear systems
منشور في 1999"…In this paper, we apply a discrete‐time learning algorithm to a class of discrete‐time varying nonlinear systems with affine input action and linear output having relative degree one. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
19
-
20
A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network
منشور في 2019"…In order to address this issue, in this paper, we propose a novel hybrid approach with both convolutional and recurrent neural networks combined, which is based on the long short-term memory module. Featuring the capability of learning the correlations of time-series data, the proposed deep learning method is well-suited for extracting the valuable transient feature contained in the very beginning of the response curve. …"