Effects of using different neural network structures and cost functions in locomotion control

Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334) ◽

10.1109/acc.2000.879225 ◽

2000 ◽

Author(s):

Jih-Gau Juang

Keyword(s):

Neural Network ◽

Cost Functions ◽

Network Structures ◽

Locomotion Control

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Effects of Using Different Neural Network Structures and Cost Functions in Locomotion Control

Lecture Notes in Computer Science - Advances in Natural Computation ◽

10.1007/11881070_60 ◽

2006 ◽

pp. 437-446

Author(s):

Jih-Gau Juang

Keyword(s):

Neural Network ◽

Cost Functions ◽

Network Structures ◽

Locomotion Control

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Hierarchical Neural Network Structures for Phoneme Recognition

10.1007/978-3-642-34425-1 ◽

2013 ◽

Cited By ~ 4

Author(s):

Daniel Vasquez ◽

Rainer Gruhn ◽

Wolfgang Minker

Keyword(s):

Neural Network ◽

Network Structures ◽

Phoneme Recognition ◽

Hierarchical Neural Network

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A Unified Approach to Derive Gradient Algorithms for Arbitrary Neural Network Structures

ICANN ’94 ◽

10.1007/978-1-4471-2097-1_127 ◽

1994 ◽

pp. 545-548

Author(s):

Françoise Beaufays ◽

Eric A. Wan

Keyword(s):

Neural Network ◽

Network Structures ◽

Unified Approach ◽

Gradient Algorithms

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Controlling Model Complexity in Probabilistic Model-Based Dynamic Optimization of Neural Network Structures

Lecture Notes in Computer Science - Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning ◽

10.1007/978-3-030-30484-3_33 ◽

2019 ◽

pp. 393-405 ◽

Cited By ~ 1

Author(s):

Shota Saito ◽

Shinichi Shirakawa

Keyword(s):

Neural Network ◽

Dynamic Optimization ◽

Probabilistic Model ◽

Model Complexity ◽

Network Structures ◽

Model Based

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Analysis of Neural Network Training and Cost Functions Impact on the Accuracy of IDS and SIEM Systems

Codes, Cryptology and Information Security - Lecture Notes in Computer Science ◽

10.1007/978-3-030-16458-4_25 ◽

2019 ◽

pp. 433-451 ◽

Cited By ~ 1

Author(s):

Said El Hajji ◽

Nabil Moukafih ◽

Ghizlane Orhanou

Keyword(s):

Neural Network ◽

Cost Functions ◽

Neural Network Training ◽

Network Training

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A new indirect encoding method with variable length gene code to optimize neural network structures

IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) ◽

10.1109/ijcnn.1999.830879 ◽

2003 ◽

Cited By ~ 3

Author(s):

K. Kobayashi ◽

M. Ohbayashi

Keyword(s):

Neural Network ◽

Variable Length ◽

Network Structures ◽

Gene Code ◽

Indirect Encoding ◽

Encoding Method

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Neural network structures applied for both channel modeling and blind equalization

IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028) ◽

10.1109/icsmc.1999.815582 ◽

2003 ◽

Author(s):

W. Chagra ◽

R.B. Abdennour ◽

F. Bouani ◽

M. Ksouri ◽

G. Favier

Keyword(s):

Neural Network ◽

Blind Equalization ◽

Channel Modeling ◽

Network Structures

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Neural network structures and isomorphisms: random walk characteristics of the search space

2000 IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks. Proceedings of the First IEEE Symposium on Combinations of Evolutionary Computation and Neural Networks (Cat. No.00EX448) ◽

10.1109/ecnn.2000.886223 ◽

2002 ◽

Cited By ~ 4

Author(s):

P. Stagge ◽

C. Igel

Keyword(s):

Neural Network ◽

Random Walk ◽

Search Space ◽

Network Structures

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Encoding logical constraints into neural network cost functions

10.1109/ijcnn.1990.137943 ◽

1990 ◽

Cited By ~ 2

Author(s):

D.A. Thomae ◽

D.E. Van den Bout

Keyword(s):

Neural Network ◽

Cost Functions ◽

Network Cost ◽

Logical Constraints

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Application of decision feedback equalisers based on multilayer neural network structures to compensate for optical fibre dispersion and nonlinearity

IET Optoelectronics ◽

10.1049/iet-opt:20060097 ◽

2007 ◽

Vol 1 (4) ◽

pp. 169-174

Author(s):

L. Yunxi

Keyword(s):

Neural Network ◽

Optical Fibre ◽

Decision Feedback ◽

Network Structures

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