Results 31 to 40 of about 874,187 (329)

Comparison of artificial intelligence models and experimental models in estimating reference evapotranspiration (Case study: Ramhormoz synoptic station) [PDF]

مدل‌سازی و مدیریت آب و خاک, 2023
IntroductionWater resources are strongly influenced by the hydrological cycle and the estimation of evapotranspiration as the main component of the hydrological cycle plays an important role in water resources management. This phenomenon is nonlinear and
Danial Khari, Aslan Egdernezhad, Niazali Ebrahimipak   +2 more
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
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Artificial nonmonotonic neural networks

Artificial Intelligence, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Basilis Boutsinas, Michael N. Vrahatis
openaire   +3 more sources

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

Comparative Study of Structural Anomaly Diagnosis Based on ANN Model Using Random Displacement and Acceleration Responses with Incomplete Measurements

Sensors, 2022
Structural anomaly diagnosis, such as damage identification, is a continuously interesting issue. Artificial neural networks have an excellent ability to model complex structure dynamics.
Zhi-Gang Ruan, Zu-Guang Ying
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

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
core   +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

Application of Artificial Neural Network to Search for Gravitational-Wave Signals Associated with Short Gamma-Ray Bursts [PDF]

, 2015
We apply a machine learning algorithm, the artificial neural network, to the search for gravitational-wave signals associated with short gamma-ray bursts.
Harry, Ian W., Hodge, Kari A., Kim, Kyungmin, Kim, Young-Min, Lee, Chang-Hwan, Lee, Hyun Kyu, Oh, John J., Oh, Sang Hoon, Son, Edwin J.   +8 more
core   +3 more sources