( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
On Retrieval of Lost Functions for Feedforward Neural Networks Using Re-Learning.

, , , и . KES, том 3215 из Lecture Notes in Computer Science, стр. 491-497. Springer, (2004)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Naotake Okada

 

Другие публикации лиц с тем же именем

Medical Checkup and Image Data Analysis for Preventing Life Style Diseases: A Research Survey of Japan Society for the Promotion of Science with Grant-in-Aid for Scientific Research (A) (Grant number 25240038)., , , , , и . ICETET, стр. 117-122. IEEE, (2015)Rarity-Oriented Information Retrieval: Social Bookmarking vs. Word Co-occurrence., , , и . ICADL, том 10075 из Lecture Notes in Computer Science, стр. 85-91. Springer, (2016)Application of self-organizing maps to data classification and data prediction for female subjects with unhealthy-level visceral fat., , , , и . SMC, стр. 1815-1820. IEEE, (2016)An Unsupervised Clustering with Evolutionary Strategy to Estimate the Cluster Number., , и . Fuzzy Days, том 1625 из Lecture Notes in Computer Science, стр. 99-107. Springer, (1999)Reconfiguring Circuits Around Defects in Self-Timed Cellular Automata., , , , , и . ACRI, том 5191 из Lecture Notes in Computer Science, стр. 200-209. Springer, (2008)A cellular array designed from a Multiple-valued Decision Diagram and its fault tests., , и . Asian Test Symposium, стр. 20-. IEEE Computer Society, (1995)Activation Function Manipulation for Fault Tolerant Feedforward Neural Networks., , , и . Asian Test Symposium, стр. 203-208. IEEE Computer Society, (1999)Learning-Based On-Line Testing in Feedforward Neural Networks., , , и . IOLTW, стр. 180. IEEE Computer Society, (2002)Cellular Automaton Model for Turing Tumble Mechanical Computer., , , , , и . CANDAR Workshops, стр. 32-37. IEEE Computer Society, (2018)A Functional Manipulation for Improving Tolerance against Multiple-Valued Weight Faults of Feedforward Neural Networks., , и . ISMVL, стр. 339-344. IEEE Computer Society, (2001)