Relevant parameters for a class of sequence-retrieving neural networks

E-ISSN： 1286-4862|3|6|1303-1328

ISSN： 1155-4304

Source： Journal de Physique I, Vol.3, Iss.6, 1993-06, pp. : 1303-1328

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

Related content

Bacterial DNA Sequence Compression Models Using Artificial Neural Networks

By Duarte Manuel J. Pinho Armando J.

Entropy, Vol. 15, Iss. 9, 2013-08 ,pp. : 3435-3448

MDPI

Access to resources Recommend Favorite

Adaptive Synchronization for a Class of Uncertain Fractional-Order Neural Networks

By Liu Heng Li Shenggang Wang Hongxing Huo Yuhong Luo Junhai

Entropy, Vol. 17, Iss. 10, 2015-10 ,pp. : 7185-7200

MDPI

Access to resources Recommend Favorite

Application of artificial neural networks for the classification of liver lesions by image texture parameters

By Sujana H. Swarnamani S. Suresh S.

Ultrasound in Medicine and Biology, Vol. 22, Iss. 9, 1996-01 ,pp. : 1177-1181

Elsevier

Access to resources Recommend Favorite

Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays

By Ma Weiyuan Li Changpin Wu Yujiang Wu Yongqing

Entropy, Vol. 16, Iss. 12, 2014-12 ,pp. : 6286-6299

MDPI

Access to resources Recommend Favorite

Prediction of geomagnetic storm using neural networks: Comparison of the efficiency of the Satellite and ground-based input parameters

Journal of Physics: Conference Series , Vol. 134, Iss. 1, 2008-11 ,pp. : 193-198

IOP Publishing

Access to resources Recommend Favorite