A L-BFGS Based Learning Algorithm for Complex-Valued Feedforward Neural Networks

Neural Processing Letters ◽

10.1007/s11063-017-9692-5 ◽

2017 ◽

Vol 47 (3) ◽

pp. 1271-1284 ◽

Author(s):

Rongrong Wu ◽

He Huang ◽

Xusheng Qian ◽

Tingwen Huang

Keyword(s):

Neural Networks ◽

Learning Algorithm ◽

Feedforward Neural Networks ◽

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New accelerated learning algorithm motivated from novel shape of error surfaces for multilayer feedforward neural networks

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan) ◽

10.1109/ijcnn.1993.713975 ◽

2005 ◽

Author(s):

Seung-Joon Lee ◽

Dong-Jo Park

Keyword(s):

Neural Networks ◽

Learning Algorithm ◽

Feedforward Neural Networks ◽

Accelerated Learning

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Optimal learning algorithm for multilayer feedforward neural networks

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94) ◽

10.1109/icnn.1994.374291 ◽

2002 ◽

Author(s):

Gou-Jen Wang ◽

Chih-Cheng Cheng

Keyword(s):

Neural Networks ◽

Learning Algorithm ◽

Feedforward Neural Networks ◽

Optimal Learning

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A new learning algorithm with logarithmic performance index for complex-valued neural networks

Neurocomputing ◽

10.1016/j.neucom.2009.06.004 ◽

2009 ◽

Vol 72 (16-18) ◽

pp. 3771-3781 ◽

Author(s):

R. Savitha ◽

S. Suresh ◽

N. Sundararajan ◽

P. Saratchandran

Keyword(s):

Neural Networks ◽

Performance Index ◽

Learning Algorithm ◽

New Learning ◽

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OPTIMIZING AND LEARNING ALGORITHM FOR FEEDFORWARD NEURAL NETWORKS AND ITS IMPLEMENTATION BY SYSTOLIC ARRAY

Series in Machine Perception and Artificial Intelligence - Neural Networks and Systolic Array Design ◽

10.1142/9789812778086_0009 ◽

2002 ◽

pp. 205-227

Author(s):

P. Bachiller-Burgos

Keyword(s):

Neural Networks ◽

Systolic Array ◽

Learning Algorithm ◽

Feedforward Neural Networks

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Deterministic convergence of complex mini-batch gradient learning algorithm for fully complex-valued neural networks

Neurocomputing ◽

10.1016/j.neucom.2020.04.114 ◽

2020 ◽

Vol 407 ◽

pp. 185-193

Author(s):

Huisheng Zhang ◽

Ying Zhang ◽

Shuai Zhu ◽

Dongpo Xu

Keyword(s):

Neural Networks ◽

Learning Algorithm ◽

Gradient Learning ◽

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A new constrained learning algorithm for function approximation by encoding a priori information into feedforward neural networks

Neural Computing and Applications ◽

10.1007/s00521-007-0135-5 ◽

2007 ◽

Vol 17 (5-6) ◽

pp. 433-439 ◽

Author(s):

Fei Han ◽

De-Shuang Huang

Keyword(s):

Neural Networks ◽

Function Approximation ◽

Learning Algorithm ◽

A Priori ◽

Feedforward Neural Networks ◽

A Priori Information ◽

Constrained Learning ◽

Priori Information

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A New Learning Algorithm for Function Approximation By Incorporating A Priori Information Into Feedforward Neural Networks

Third International Conference on Natural Computation (ICNC 2007) ◽

10.1109/icnc.2007.97 ◽

2007 ◽

Author(s):

Fei Han ◽

Qing-Hua Ling

Keyword(s):

Neural Networks ◽

Function Approximation ◽

Learning Algorithm ◽

A Priori ◽

Feedforward Neural Networks ◽

A Priori Information ◽

New Learning ◽

Priori Information

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Fully Coupled and Feedforward Neural Networks with Complex-Valued Neurons

Advances in Intelligent and Distributed Computing - Studies in Computational Intelligence ◽

10.1007/978-3-540-74930-1_5 ◽

2008 ◽

pp. 41-50 ◽

Author(s):

Jacek M. Zurada ◽

Igor Aizenberg

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Complex Valued ◽

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A new learning algorithm for feedforward neural networks

Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206) ◽

10.1109/isic.2001.971481 ◽

2002 ◽

Author(s):

Derong Liu ◽

Tsu-Shuan Chang ◽

Yi Zhang

Keyword(s):

Neural Networks ◽

Learning Algorithm ◽

Feedforward Neural Networks ◽

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A training algorithm with selectable search direction for complex-valued feedforward neural networks

Neural Networks ◽

10.1016/j.neunet.2021.01.014 ◽

2021 ◽

Vol 137 ◽

pp. 75-84

Author(s):

Zhongying Dong ◽

He Huang

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Search Direction ◽

Training Algorithm ◽

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