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Spiking Neural Network to Extract Frequent Words from Japanese Speech Data.

, , , , and . KES, volume 159 of Procedia Computer Science, page 363-371. Elsevier, (2019)

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Manipulation of hidden units activities for fault tolerant multi-layer neural networks., , , and . CIRA, page 19-24. IEEE, (2003)Low Power Oriented Test Modification and Compression Techniques for Scan Based Core Testing., , , , and . ATS, page 327-332. IEEE, (2006)Enhancing both generalization and fault tolerance of multilayer neural networks., , , and . IJCNN, page 1429-1433. IEEE, (2007)Extraction of Frequent Sequential Patterns from Sequence at Uneven Intervals., , , , and . SCIS&ISIS, page 1437-1441. IEEE, (2018)Obstacle to training SpikeProp networks - Cause of surges in training process -., , , , , and . IJCNN, page 3062-3066. IEEE Computer Society, (2009)Descriptive Answer Clustering System for Immediate Feedback., , , , and . ICCE, volume 162 of Frontiers in Artificial Intelligence and Applications, page 37-40. IOS Press, (2007)Fault tolerant training algorithm for multi-layer neural networks focused on hidden unit activities., , and . IJCNN, page 1540-1545. IEEE, (2006)Shape of error surfaces in SpikeProp., , , and . IJCNN, page 840-844. IEEE, (2008)Algebraic Specification Method of Programming Languages., , and . RIMS Symposia on Software Science and Engineering, volume 220 of Lecture Notes in Computer Science, page 144-157. Springer, (1984)Spiking Neural Network to Extract Frequent Words from Japanese Speech Data., , , , and . KES, volume 159 of Procedia Computer Science, page 363-371. Elsevier, (2019)