نتایج جستجو برای: interval prediction neural networks

تعداد نتایج: 1045591  

2007
Lotfi A. Zadeh

A method for response integration in modular neural networks with type-2 fuzzy logic for biometric systems p. 5 Evolving type-2 fuzzy logic controllers for autonomous mobile robots p. 16 Adaptive type-2 fuzzy logic for intelligent home environment p. 26 Interval type-1 non-singleton type-2 TSK fuzzy logic systems using the hybrid training method RLS-BP p. 36 An efficient computational method to...

Journal: :JCIT 2010
Jian-ming Cui

Artificial neural networks and genetic algorithms derived from the corresponding simulation of biology, anatomy. The paper analyzes the advantages and the disadvantages of the artificial neural networks and genetic algorithms. The artificial neural networks and genetic algorithms to be combine in the prediction model. This method is used to predict traffic volume in a road, the accuracy of fore...

ژورنال: علوم آب و خاک 2007
محمدحسین شیخی, , منصور زیبایی, , بهاء الدین نجفی, , محمدحسن طرازکار, ,

In this study wholesale prices of selected crops, namely, tomato, onion and potatoes in Fars province were predicted for various time horizons by using common methods of forecasting and artificial neural networks (ANN). Monthly data from September 1998 to June 2005 period were obtained from Ministry of Jihad-e Agriculture. For comparing different methods data selected from September 1998 to Dec...

محمدحسین شیخی, , منصور زیبایی, , بهاء الدین نجفی, , محمدحسن طرازکار, ,

In this study wholesale prices of selected crops, namely, tomato, onion and potatoes in Fars province were predicted for various time horizons by using common methods of forecasting and artificial neural networks (ANN). Monthly data from September 1998 to June 2005 period were obtained from Ministry of Jihad-e Agriculture. For comparing different methods data selected from September 1998 to Dec...

2011
Haiguang Wang Zhanhong Ma

Stripe rust caused by Puccinia striiformis f. sp. tritici, is a devastating wheat disease in the world. The prediction of this disease is very important to make control strategies. In order to figure out suitable prediction methods based on neural networks that could provide accurate prediction information with high stability, the predictions of wheat stripe rust by using backpropagation networ...

Journal: :The International Arab Journal of Information Technology 2019

Journal: :IEEE Journal of Biomedical and Health Informatics 2020

Journal: :Angewandte Chemie International Edition 2020

Journal: :Journal of Applied Meteorology and Climatology 2008

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