206 resultados para Neural Conduction

A hybrid approach to locally optimized interpretable partitions of fuzzy neural models

Relevância:

20.00% 20.00%

Publicador:

Veja mais

The behaviour of the foetus as an indicator of neural functioning

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Comment on “Flow forecasting for a Hawaii stream using rating curves and neural networks” by G.B. Sahoo and C. Ray [Journal of Hydrology 317 (2006) 63–80]

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Comment on the issues of statistical modelling with particular reference to the use of artificial neural networks

Relevância:

20.00% 20.00%

Publicador:

Veja mais

The use of artificial neural networks in materials science based research

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Comment on “Optimization of the temperature profile of a temperature gradient reactor for DME synthesis using a simple genetic algorithm assisted by a neural network” by Kohji Omata, Toshihiko Ozaki, Tetsuo Umegaki, Yuhsuke Watanabe, Noritoshi Nukui, and Muneyoshi Yamada

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Comment on “Artificial neural network based modeling of heated catalytic converter performance” by M. Ali Akcayol and Can Cinar [Applied Thermal Engineering 25 (2005) 2341]

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Comment on “Design of a propane ammoxidation catalyst using artificial neural networks and genetic algorithms”

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Simulation of microhardness profiles of titanium alloys after surface nitriding using artificial neural network

Relevância:

20.00% 20.00%

Publicador:

Veja mais

The neural network modeling of titanium alloy phase transformation and mechanical properties

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Modelling beta transus temperature of titanium alloys using artificial neural network

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Modelling tensile properties of gamma-based titanium aluminides using artificial neural network

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Comment on “Modeling of tribological properties of alumina fiber reinforced zinc–aluminum composites using artificial neural network” by K. Genel et al. [Mater. Sci. Eng. A 363 (2003) 203]

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Application of artificial neural networks for modelling correlations in titanium alloys

Relevância:

20.00% 20.00%

Publicador:

Veja mais

Artificial neural network modelling of crystallization temperatures of the Ni-P based amorphous alloys

Relevância:

20.00% 20.00%

Publicador:

Veja mais