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Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks.

, , , and . IJCNN, page 1225-1230. IEEE, (2014)

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Age-Invariant Speaker Embedding for Diarization of Cognitive Assessments., , , , and . ISCSLP, page 1-5. IEEE, (2021)A new fast learning algorithm with promising global convergence capability for feed-forward neural networks., , , and . IJCNN, page 1-6. IEEE, (2013)Magnified Gradient Function to Improve First-Order Gradient-Based Learning Algorithms., , , and . ISNN (1), volume 7367 of Lecture Notes in Computer Science, page 448-457. Springer, (2012)A new terminating condition to identify the convergence of the learning process in multi-layer feed-forward neural networks., and . IJCNN, page 1-6. IEEE, (2015)Further enhancements in WOM algorithm to solve the local minimum and flat-spot problem in feed-forward neural networks., , , and . IJCNN, page 1225-1230. IEEE, (2014)Enhanced Two-Phase method in fast learning algorithms., , , and . IJCNN, page 1-7. IEEE, (2010)Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks., , and . IEEE J. Biomed. Health Informatics, 23 (4): 1574-1584 (2019)Speaker Turn Aware Similarity Scoring for Diarization of Speech-Based Cognitive Assessments., , , , and . APSIPA ASC, page 1299-1304. IEEE, (2021)A fast learning algorithm with Promising Convergence Capability., , , and . IJCNN, page 937-942. IEEE, (2011)A systematic algorithm to escape from local minima in training feed-forward neural networks., , and . IJCNN, page 396-402. IEEE, (2016)