Results 31 to 40 of about 639,551 (228)

Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach [PDF]

, 2018
Recurrent neural networks have demonstrated to be good at tackling prediction problems, however due to their high sensitivity to hyper-parameter configuration, finding an appropriate network is a tough task.
G Litjens, RN Bracewell, S Albelwi, S Haykin, S Hochreiter, S Min, VK Ojha, Y Bengio, Y LeCun   +8 more
core   +1 more source

Best Architecture Recommendations of ANN Backpropagation Based on Combination of Learning Rate, Momentum, and Number of Hidden Layers

JTAM (Jurnal Teori dan Aplikasi Matematika), 2022
This article discusses the results of research on the combination of learning rate values, momentum, and the number of neurons in the hidden layer of the ANN Backpropagation (ANN-BP) architecture using meta-analysis.
Syaharuddin Syaharuddin, Fatmawati Fatmawati, Herry Suprajitno   +2 more
doaj   +1 more source

An analog feedback associative memory [PDF]

, 1993
A method for the storage of analog vectors, i.e., vectors whose components are real-valued, is developed for the Hopfield continuous-time network. An important requirement is that each memory vector has to be an asymptotically stable (i.e.
Abu-Mostafa, Yaser S., Atiya, Amir
core   +1 more source

IDENTIFYING THREATS IN COMPUTER NETWORK BASED ON MULTILAYER NEURAL NETWORK

Nauka ta progres transportu, 2018
Purpose. Currently, there appear more often the reports of penetration into computer networks and attacks on the Web-server. Attacks are divided into the following categories: DoS, U2R, R2L, Probe.
I. V. Zhukovyts’kyy, V. M. Pakhomovа
doaj   +1 more source

Pengaruh Perbedaan Jumlah Hidden Layer dan Node pada Hidden Layer Terhadap Performa Model Klasifikasi Diabetes

KONSTELASI: Konvergensi Teknologi dan Sistem Informasi, 2022
Diabetes merupakan salah satu penyakit kronis yang serius. Diabetes umumnya ditandai dengan tubuh tidak membuat cukup insulin atau tidak dapat menggunakan insulin yang dibuat seefektif yang dibutuhkan. Diabetes dapat dikelompokkan menjadi empat tipe.
openaire   +1 more source

Enhancing Photovoltaic Energy Output Predictions Using ANN and DNN: A Hyperparameter Optimization Approach

Energies
This study investigates the use of artificial neural networks (ANNs) and deep neural networks (DNNs) for estimating photovoltaic (PV) energy output, with a particular focus on hyperparameter tuning.
Atıl Emre Cosgun
doaj   +1 more source

Artificial Neural Network to predict mean monthly total ozone in Arosa, Switzerland

, 2006
Present study deals with the mean monthly total ozone time series over Arosa, Switzerland. The study period is 1932-1971. First of all, the total ozone time series has been identified as a complex system and then Artificial Neural Networks models in the ...
Acharya U. R., Bronnimann S., Comrie A. C., Dorling S., Gardner M., Goutami Bandyopadhyay, Kartalopoulos S. V., Monge Sanz B. M., Perez P., Staehelin J., Surajit Chattopadhyay, Varotsos C., Weiss A. K., Wilks D. S., Wolff G.   +14 more
core   +1 more source

Bike Sharing Prediction using Deep Neural Networks

JOIV: International Journal on Informatics Visualization, 2017
In this paper, we will use deep neural networks for predicting the bike sharing usage based on previous years usage data. We will use because deep neural nets for getting higher accuracy.
Chandrasegar Thirumalai, Ravisankar Koppuravuri   +1 more
doaj   +1 more source

Roughness Assessment for Machined Surfaces in Turning Operation Using Neural Network [PDF]

Engineering and Technology Journal, 2014
Feed forward artificial neural network has been applied to predict the quality of turned surfaces for two types of coated carbide inserts. Four networks were proposed for each insert.
Mohanned M.H. AL-Khafaji, Hussam Lefta Alwan, Baraa M.H. Albaghdadi   +2 more
doaj   +1 more source

Prediksi Gagal Jantung Menggunakan Artificial Neural Network

Jurnal Saintekom, 2023
Cardiovascular disease or heart problems are the leading cause of death worldwide. According to WHO (World Health Organization) every year there are more than 17.9 million deaths worldwide. In previous studies, there have been many studies related to the
Simeon Yuda Prasetyo
doaj   +1 more source