نتایج جستجو برای: self organized artificial neural networks

تعداد نتایج: 1362573  

A.A. Aslaminejad A.R. Jafari Arvari M. Khojastehkey,

In this study, a method based on using image processing and artificial neural network is introduced to determine pelt color and curl size of newborn lambs in Zandi sheep. The data was collected from 300 newborn lambs reared in the Zandi sheep breeding centre of Khojir, Tehran. Primarily, curl size and pelt color of new born lambs was recorded by experienced appraisers, and at the same time, sev...

Journal: :journal of rehabilitation in civil engineering 2014
ali kheyroddin hosein naderpour masoud ahmadi

this paper presents a new model for predicting the compressive strength of steel-confined concrete on circular concrete filled steel tube (ccfst) stub columns under axial loading condition based on artificial neural networks (anns) by using a large wide of experimental investigations. the input parameters were selected based on past studies such as outer diameter of column, compressive strength...

ژورنال: مهندسی دریا 2005
شفیعی فر, مهدی, مقیم, محمد نوید,

One of the most important issues in designing coastal and offshore structures is the prediction of wave and current forces on slender cylinders. Such forces are often considered as dominate loadings. Many analytical and empirical methods such as Morison equation have been suggested for estimation of waves and current forces. Such methods, however, have shown inaccuracies in predicting hydrodyna...

2001
Borching Su Shyh-Kang Jeng

AND SELF-ORGANIZED MAP NEURAL NETWORKS Borching Su and Shyh-Kang Jeng Graduate Institute of Communication Engineering and Department of Electrical Engineering National Taiwan University Taipei, Taiwan, ROC. Email: [email protected] ABSTRACT This paper presents a new method for musical chord recognition based on a model of human perception. We classify the chords directly from the sound wi...

Journal: :جنگل و فرآورده های چوب 0
هادی بیاتی دانشجوی دکتری مهندسی جنگل دانشکدة منابع طبیعی دانشگاه تربیت مدرس، نور، ایران اکبر نجفی دانشیار گروه جنگلداری دانشکدة منابع طبیعی دانشگاه تربیت مدرس، نور، ایران پرویز عبدالمالکی دانشیار گروه بیوفیزیک دانشکدة علوم زیستی دانشگاه تربیت مدرس، تهران، ایران

estimating of forest equipment productivity is an important aspect of managing cost in forestry, which leads to reduction of operations expenses. in other words, high capital cost in forest harvesting, is a good reason to argue forest engineering research and time modeling. this paper applied one of the artificial intelligence subsets, which are called artificial neural networks (anns), to pred...

2006
Andrzej Cichocki

The Open Information Systems Laboratory has general interest in intelligent blind and sparse signal processing and nonlinear system theory approaches in computational neuroscience, with the emphasis on artificial neural network models with underlying components (processing units) and self-organizing behavior. Underlying this interest is a belief that biologically plausible artificial neural sys...

Journal: :محیط زیست طبیعی 0
منصوره کارگر دانشکده منابع طبیعی دانشگاه علوم کشاورزی و منابع طبیعی ساری زینب جعفریان دانشیار دانشگاه علوم کشاورزی و منابع طبیعی ساری

natural fire inflicting irreparable damage to rangelands and forest areas is cause changes in landscape ecology. the purpose of this research is comparison of artificial neural network (ann) and line regression (lr) models to predict of forest and rangelands fires to this end, the data consist fire burned area and fire were used weather data over a period of 7 years (2006-2012(.the result indic...

Journal: :Artificial Intelligence 2001

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