بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
fusion algorithm » auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
complex fusion » complex functions (توسيع البحث)
mesh algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
element » elements (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
fusion algorithm » auction algorithm (توسيع البحث), cosine algorithm (توسيع البحث)
complex fusion » complex functions (توسيع البحث)
mesh algorithm » deer algorithm (توسيع البحث), search algorithm (توسيع البحث)
element » elements (توسيع البحث)
-
1
A neural networks algorithm for data path synthesis
منشور في 2003"…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
2
A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
منشور في 2002"…In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …"
احصل على النص الكامل
احصل على النص الكامل
article -
3
A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
منشور في 2010"…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
4
YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm
منشور في 2025"…Accurately identifying small defects on PCB surfaces remains a considerable challenge, particularly under complex background conditions, due to the intricate and compact layout of the boards. …"
-
5
Estimation of the methanol loss in the gas hydrate prevention unit using the artificial neural networks: Investigating the effect of training algorithm on the model accuracy
منشور في 2023"…Adjusting the weight and bias of the ANN model using an optimization algorithm is known as the training process. …"
-
6
Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification
منشور في 2025"…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …"
-
7
-
8
A systematic review of text classification research based on deep learning models in Arabic language
منشور في 2020"…The evaluation criteria used in the algorithms of different neural network types and how they play a large role in the highly accurate classification of Arabic texts are discussed. …"
احصل على النص الكامل
احصل على النص الكامل
-
9
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
منشور في 2019"…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
احصل على النص الكامل
احصل على النص الكامل
-
10
NEURAL NETWORK MODEL FOR PLANNED REPLACEMENT OF BOEING 737 BRAKES
منشور في 2020"…., Boeing 737, is analyzed using the Artificial Neural Network and Weibull regression models. One-layered feed-forward back-propagation algorithm for artificial neural network whereas three parameters model for Weibull are used for the analysis. …"
احصل على النص الكامل
article -
11
-
12
A depth-controlled and energy-efficient routing protocol for underwater wireless sensor networks
منشور في 2022"…The proposed model also utilized an enhanced back propagation neural network for data fusion operation, which is based on multi-hop system and also operates a highly optimized momentum technique, which helps to choose only optimum energy nodes and avoid duplicate selections that help to improve the overall energy and further reduce the quantity of data transmission. …"
-
13
Modelling Exchange Rates during Currency Crisis using Neural Networks
منشور في 2006"…The models are built using the feedforward ANN structure trained by the backpropagation algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
14
-
15
-
16
Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks
منشور في 2025"…Drawing on more than fifteen harmonized datasets that span pyrimidines, ionic liquids, graphene oxides, and additional compound families, we benchmark traditional algorithms, such as artificial neural networks, support vector machines, k-nearest neighbors, random forests, against advanced graph-based and deep architectures including three-level directed message-passing neural networks, 2D3DMol-CIC, and graph convolutional networks. …"
-
17
-
18
Multi-Objective Optimisation of Injection Moulding Process for Dashboard Using Genetic Algorithm and Type-2 Fuzzy Neural Network
منشور في 2024"…It is worth noting that the injection moulding process does not incorporate a type-2 fuzzy neural network (T2FNN). However, in this particular investigation, T2FNN was employed to replicate the mechanical stress model associated with dashboard injection moulding. …"
-
19
A Survey of Audio Enhancement Algorithms for Music, Speech, Bioacoustics, Biomedical, Industrial, and Environmental Sounds by Image U-Net
منشور في 2023"…Although, there are dedicated audio processing DNNs, yet, many recent models of AE have utilized U-Net: a DNN based on Convolutional Neural Network (CNN), fundamentally developed for image segmentation. …"
-
20
Hybrid Deep Learning-based Models for Crop Yield Prediction
منشور في 2022"…The algorithms evaluated in our study are the XGBoost machine learning (ML) algorithm, Convolutional Neural Networks (CNN)-Deep Neural Networks (DNN), CNN-XGBoost, CNN-Recurrent Neural Networks (RNN), and CNN-Long Short Term Memory (LSTM). …"