نتایج جستجو برای: nero adaptive control

تعداد نتایج: 1491067  

سجادی, سید جواد, صبوری , حسین, فلاحی , حسینعلی,

Productivity of rainfed crops may be predicted using the climatic parameters. Crop yield prediction has an important role in agricultural policies including determining the crop price. Well-known prediction methods are regression method and arterial neural networks. In this paper soybean yield is predicted using Adaptive Nero-Fuzzy Interface System (ANFIS) and 11 years of climatic data (1998-20...

Journal: :Ecological applications : a publication of the Ecological Society of America 2006
Jennifer M Arnold Solange Brault John P Croxall

Simulation modeling was used to reconstruct Black-browed Albatross (Diomedea melanophris) population trends. Close approximations to observed data were accomplished by annually varying survival rates, reproductive success, and probabilities of returning to breed given success in previous years. The temporal shift in annual values coincided with the start of longline fishing at South Georgia and...

2014
Eric Gilman Milani Chaloupka Brett Wiedoff Jeremy Willson

Bycatch in longline fisheries threatens the viability of some seabird populations. The Hawaii longline swordfish fishery reduced seabird captures by an order of magnitude primarily through mitigating bycatch during setting. Now, 75% of captures occur during hauling. We fit observer data to a generalized additive regression model with mixed effects to determine the significance of the effect of ...

2006
Chern Han Yong Kenneth O. Stanley Risto Miikkulainen Igor Karpov

Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real time, making it possible to e.g. construct video games with adaptive agents. Often some of the desired behaviors for such agents are known, and it would make sense to prescribe them, rather than requiring evolution to d...

Journal: :کودکان استثنایی 0
سالار فرامرزی salar faramarzi university of isfahanدانشگاه اصفهان غلامعلی افروز gholamali afrooz university of tehranدانشگاه تهران مختار ملک پور mokhtar malekpour university of isfahanدانشگاه اصفهان

objective: the purpose of this study was to examine the impact of early family-centered psychological and educational interventions on adaptive behaviors in children with down syndrome (ds). method: utilizing an experimental pretest-posttest control group design, parents of 36 children with ds were selected in isfahan. vineland adaptive behavior scale was used to assess adaptive behavior. resul...

Journal: :ARYS: Antigüedad, Religiones y Sociedades 2018

Journal: :journal of ai and data mining 2015
m. vahedi m. hadad zarif a. akbarzadeh kalat

this paper presents an indirect adaptive system based on neuro-fuzzy approximators for the speed control of induction motors. the uncertainty including parametric variations, the external load disturbance and unmodeled dynamics is estimated and compensated by designing neuro-fuzzy systems. the contribution of this paper is presenting a stability analysis for neuro-fuzzy speed control of inducti...

Journal: :Agronomy 2021

Natural biostimulants obtained by plants are intensively used nowadays to improve crop yield and quality. The current study aimed evaluate the effects of leaf extract moringa (Moringa oleifera Lam.) (MLE) in modifying baby characteristics two genotypes Brassica. trial was started October 2020 a greenhouse; cultivar kale ‘Cavolo Laciniato Nero di Toscana’ (CL) Sicilian landrace sprouting broccol...

Journal: :journal of operation and automation in power engineering 2007
k. mazlumi m. darabian m. azari

this paper presents a novel indirect adaptive power system stabilizer (pss) via a developed synergetic control methodology and fuzzy systems. fuzzy system is utilized in an adaptive scheme to estimate the system using a nonlinear model. the synergetic control guarantees robustness of the controller and makes the controller easy to implement because of using a chatter free continuous control law...

Forecasting industrial production is essential for efficient planning by managers. Although there are many statistical and mathematical methods for prediction, the use of intelligent algorithms with desirable features has made significant progress in recent years. The current study compared the accuracy of the Artificial Neural Networks (ANN) and Adaptive Nero-Fuzzy Inference System (ANFIS) app...

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