Results 41 to 50 of about 2,288,742 (339)

A stochastic artificial neural network model for investigating street vendor behavior in a night market

International Journal of Distributed Sensor Networks, 2016
This article offers a hybrid computational approach that combines an artificial neural network with Bayesian probability to improve on the conventional artificial neural network model.
Pao-Kuan Wu, Tsung-Chih Hsiao, Ming Xiao
doaj   +1 more source

Modality Fusion Vision Transformer for Hyperspectral and LiDAR Data Collaborative Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, collaborative classification of multimodal data, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR), has been widely used to improve remote sensing image classification accuracy.
Bin Yang, Xuan Wang, Ying Xing, Chen Cheng, Weiwei Jiang, Quanlong Feng   +5 more
doaj   +1 more source

Advances in Artificial Neural Networks – Methodological Development and Application

Algorithms, 2009
Artificial neural networks as a major soft-computing technology have been extensively studied and applied during the last three decades. Research on backpropagation training algorithms for multilayer perceptron networks has spurred development of other ...
Yanbo Huang
doaj   +1 more source

PERMODELAN INVERSI PEREDAM MAGNET-REOLOGI BERBASIS JARINGAN SARAF TIRUAN UNTUK SISTEM KENDALI

Rekayasa Mesin, 2022
The application of artificial neural network (ANN) models in magnet-rheological damper modeling is of great interest in recently challenges. Therefore, this study aims to propose a solution to overcome this problem by conducting inverse modeling using an
Rafly Asprilla Alwi, Irfan Bahiuddin, Ryandhi Rofifu Chazim, Agustinus Winarno, Fitrian Imaduddin   +4 more
doaj   +1 more source

Multilayered feed forward Artificial Neural Network model to predict the average summer-monsoon rainfall in India

, 2006
In the present research, possibility of predicting average summer-monsoon rainfall over India has been analyzed through Artificial Neural Network models.
A.J. Matthews, B. Men, B. Sivakumar, B. Sivakumar, B. Sivakumar, B. Widrow, B.G. Brown, C. Cartalis, C. Varotsos, C. Varotsos, C. Varotsos, C.P. Jacovides, D.S. Wilks, D.S. Wilks, E.H. Chin, J.B. Elsner, J.M. Gregory, K.Y. Kondratyev, K.Y. Kondratyev, L. Ferranti, M. Gevrey, M.J.C. Hu, M.W. Gardner, O.C. Clark, P. Guhathakurta, P. Perez, P. Perez, P.D. Sardeshmukh, P.R.C. Reddy, S. Gadgil, S. Haykin, S. Lee, S.K. Pal, S.M.S. Nagendra, S.V. Kamarthi, S.V. Kartalopoulos, Surajit Chattopadhyay, T. Shinoda, T.J. Sejnowski, T.M. Smith, W.W. Hsieh   +40 more
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Using RNN Artificial Neural Network to Predict the Occurrence of Gastric Cancer in the Future of the World

International Journal of Innovative Science and Research Technology
Gastric cancer is an important health problem and is the fourth most common cancer and the second leading cause of cancer-related deaths worldwide. The incidence of stomach cancer is increasing and it can be dealt with using new methods in prediction and
Seyed Masoud Ghoreishi Mokri, Newsha Valadbeygi, Khafaji Mohammed Balyasimovich   +2 more
semanticscholar   +1 more source

Artificial Neural Network Analysis of the Impact of Sample Output Accuracy

MATEC Web of Conferences, 2016
The impact of artificial neural network model output precision technology widespread attention. Quality sample study of neural network output accuracy is not much affected, most of the research is the structure (number of layers and the number of nodes),
Zhang Yu Zhong, Song Shao Yun
doaj   +1 more source

A wavelet neural network approach to predict daily river discharge using meteorological data

Measurement + Control, 2019
This paper reports some part of modelling and data analysis work carried out within the frame of a comprehensive project on the web-based development of watershed information system.
Ömer Gürsoy, Seref Naci Engin
doaj   +1 more source

A new deep neural network for forecasting: Deep dendritic artificial neural network

Artificial Intelligence Review
Deep artificial neural networks have become a good alternative to classical forecasting methods in solving forecasting problems. Popular deep neural networks classically use additive aggregation functions in their cell structures.
E. Eğrioğlu, Eren Baş
semanticscholar   +1 more source

Pendekatan Artificial Neural Network (Ann) Untuk Mengklasifikasikan Hewan Vetebrata Menggunakan Kohonen Self Organizing Map (Som) [PDF]

, 2013
This research was proposes an approach to identifying vertebrates or invertebrates that premises Kohonen Self Organizing Map (SOM). SOM is one of the topology of the Artificial Neural Network (ANN).The network will be trained to classify five kinds of ...
Tursina, T. (Tursina)
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