بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
half algorithm » carlo algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
half algorithm » carlo algorithm (توسيع البحث), jaya algorithm (توسيع البحث)
complement » implement (توسيع البحث), complementary (توسيع البحث)
-
21
An Effective Hybrid NARX-LSTM Model for Point and Interval PV Power Forecasting
منشور في 2021الموضوعات: -
22
-
23
A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT
منشور في 2023"…This research proposed a hybrid model for energy-efficient cluster formation and a head selection (E-CFSA) algorithm based on convolutional neural networks (CNNs) and a modified k-mean clustering (MKM) method for MEC. …"
-
24
-
25
-
26
-
27
-
28
Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Therefore, in this paper we propose the usage of historical charging data in conjunction with weather, traffic, and events data to predict EV session duration and energy consumption using popular machine learning algorithms including random forest, SVM, XGBoost and deep neural networks. …"
احصل على النص الكامل
article -
29
Cross entropy error function in neural networks
منشور في 2002"…This paper applies artificial neural networks to forecast gasoline consumption. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
30
Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network
منشور في 2020"…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO<sub>3</sub> on the performance of anaerobic digestion (AD) process. An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …"
-
31
-
32
Developing a UAE-Based Disputes Prediction Model using Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
33
-
34
Mobile Robot Trajectory Tracking Using Neural Networks
منشور في 2009احصل على النص الكامل
doctoralThesis -
35
Cortical EEG Source Localization of Focal Epilepsy
منشور في 2017احصل على النص الكامل
doctoralThesis -
36
-
37
Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
منشور في 2023"…Finally, PSO and RPSO-based interval centers and ranges and upper and lower bounds techniques are developed to deal with model uncertainties in WES. The last retained features from the proposed PSO-based methods are fed to the neural network (NN) classifier. …"
-
38
“Adaptive Control Technique Using Multilayer Feedforward Neural Networks”
منشور في 2005"…An adaptation algorithm to adjust the connection weights of the neural network has been derived. …"
احصل على النص الكامل
article -
39
A method for data path synthesis using neural networks
منشور في 2017"…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
40
Soft Sensor for NOx Emission using Dynamical Neural Network
منشور في 2020"…The soft sensor is based on a dynamical neural network model. A simplified structure of the dynamical neural network model is achieved by grouping the input variables using basic knowledge of the system. …"
احصل على النص الكامل
article