Genetic neural network modeling of the selective inhibition of the intermediate-conductance Ca2+-activated K+ channel by some triarylmethanes using topological charge indexes descriptors

Author： Caballero Julio   Garriga Miguel   Fernández Michael  

Publisher： Springer Publishing Company

ISSN： 0920-654X

Source： Journal of Computer-Aided Molecular Design, Vol.19, Iss.11, 2005-11, pp. : 771-789

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

MODELING OF THIN FILM PROCESS DATA USING A GENETIC ALGORITHM-OPTIMIZED INITIAL WEIGHT OF BACKPROPAGATION NEURAL NETWORK

By Kim Byungwhan  

Applied Artificial Intelligence, Vol. 23, Iss. 2, 2009-02 ,pp. : 168-178

Taylor & Francis Ltd

Access to resources Recommend Favorite

Modeling credit scoring using neural network ensembles

By Tsai Chih-Fong   Hung Chihli  

Kybernetes: The International Journal of Systems & Cybernetics, Vol. 43, Iss. 7, 2014-07 ,pp. : 1114-1123

Emerald Group Publishing Ltd

Access to resources Recommend Favorite

Selective Recurrent Neural Network

By Šter Branko  

Neural Processing Letters, Vol. 38, Iss. 1, 2013-08 ,pp. : 1-15

Springer Publishing Company

Access to resources Recommend Favorite

Automatic digital modulation recognition using artificial neural network and genetic algorithm

By Wong M.L.D.   Nandi A.K.  

Signal Processing, Vol. 84, Iss. 2, 2004-02 ,pp. : 351-365

Elsevier

Access to resources Recommend Favorite

Erratum to: Neural network nonlinear modeling for hydrogen production using anaerobic fermentation

By Al-alayah Walid   Kadhum Abdul   Jahim Jamaliah   El-Shafie Ahmed   Kalil Mohd  

Neural Computing & Applications, Vol. 24, Iss. 5, 2014-04 ,pp. : 1229-1229

Springer Publishing Company

Access to resources Recommend Favorite