NETRAL provides CONSULTING SERVICES and realizes TECHNICAL STUDIES
Do you need to realize a study of feasibility?
Do you need some advice before starting your project?
Are you looking for solutions in data processing, neural networks, nonlinear statistics?
Do you wish to minimize your number of trials?
The experience of NETRAL will help you to reach faster your goal. We offer you our expertise.
A first evaluation of your problem with some useful advice needs sometimes just a phone call.
Two days are often sufficiant when some exchange of data is required. Do not hesitate to contact us !
A study of a standard nonlinear static problem can take 1 to 3 weeks.
A study of a complex nonlinear dynamic problem may take up to 4 months.
Depending the case, NETRAL uses neural network models, knowledge-based models (physical models) or a combination of both types refered as hybrid models. The information provided by the design of experiments often improves the results
In the fields of activity with little experience in nonlinear statistic, Netral initializes the researches, and then transfers the know-how and the results to the client's specialists. This approch gives very good results for a low cost. We often recommand it.
Please contact us to know our offer and our know-how.
REFERENCE
ESA – Benefits of the use of design of experiments to reduce the number of spatial pyrotechnic devices – December 2006
EDF – A predictive model of the arrival of algae at the entrance of a power plant cooling system – May 2006
BOSCH – A combined use of neural networks and design of experiments to modelling a gasoline engine map – May 2006
GAZONOR – A model of gas desorption in old coal mines around the city of Lens – July 2001
CEA DAM – Poster CEA-NETRAL : "How to improve a neural network with a design of experiments?" – June 2000
EDF – A virtual sensor for nitrogen oxide at the exhaust of a coal factory cheminey – December 2000
DEA Seine-Saint-Denis – A dynamic neural model of the water height in used water pipes – July 2000
ATOFINA – A predictive model for the early detection of the over-feeding in a distillation column feeded with 3 components – July 1996
Do you need to realize a study of feasibility?
Do you need some advice before starting your project?
Are you looking for solutions in data processing, neural networks, nonlinear statistics?
Do you wish to minimize your number of trials?
The experience of NETRAL will help you to reach faster your goal. We offer you our expertise.
A first evaluation of your problem with some useful advice needs sometimes just a phone call.
Two days are often sufficiant when some exchange of data is required. Do not hesitate to contact us !
A study of a standard nonlinear static problem can take 1 to 3 weeks.
A study of a complex nonlinear dynamic problem may take up to 4 months.
Depending the case, NETRAL uses neural network models, knowledge-based models (physical models) or a combination of both types refered as hybrid models. The information provided by the design of experiments often improves the results
In the fields of activity with little experience in nonlinear statistic, Netral initializes the researches, and then transfers the know-how and the results to the client's specialists. This approch gives very good results for a low cost. We often recommand it.
Please contact us to know our offer and our know-how.REFERENCE
ESA – Benefits of the use of design of experiments to reduce the number of spatial pyrotechnic devices – December 2006
EDF – A predictive model of the arrival of algae at the entrance of a power plant cooling system – May 2006
BOSCH – A combined use of neural networks and design of experiments to modelling a gasoline engine map – May 2006
GAZONOR – A model of gas desorption in old coal mines around the city of Lens – July 2001
CEA DAM – Poster CEA-NETRAL : "How to improve a neural network with a design of experiments?" – June 2000
EDF – A virtual sensor for nitrogen oxide at the exhaust of a coal factory cheminey – December 2000
DEA Seine-Saint-Denis – A dynamic neural model of the water height in used water pipes – July 2000
ATOFINA – A predictive model for the early detection of the over-feeding in a distillation column feeded with 3 components – July 1996
© Netral - March 2009