Tohru Nitta

According to our database1, Tohru Nitta authored at least 32 papers between 1993 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
Fundamental Structure of Orthogonal Variable Commutative Quaternion Neurons.
Proceedings of the Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems, 2020

2019
Hypercomplex Widely Linear Estimation Through the Lens of Underpinning Geometry.
IEEE Trans. Signal Process., 2019

2018
Hyperbolic Gradient Operator and Hyperbolic Back-Propagation Learning Algorithms.
IEEE Trans. Neural Networks Learn. Syst., 2018

Weight Initialization without Local Minima in Deep Nonlinear Neural Networks.
CoRR, 2018

2017
Resolution of Singularities Introduced by Hierarchical Structure in Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

2016
On the Singularity in Deep Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015
Performance Bounds of Quaternion Estimators.
IEEE Trans. Neural Networks Learn. Syst., 2015

Learning Dynamics of a Single Polar Variable Complex-Valued Neuron.
Neural Comput., 2015

2014
Plateau in a Polar Variable Complex-valued Neuron.
Proceedings of the ICAART 2014, 2014

2013
Local minima in hierarchical structures of complex-valued neural networks.
Neural Networks, 2013

Applications of Clifford's Geometric Algebra
CoRR, 2013

Neural Networks with Comparatively Few Critical Points.
Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2013

2012
Learning Transformations with Complex-Valued Neurocomputing.
Int. J. Organ. Collect. Intell., 2012

2011
Widely Linear Processing of Hypercomplex Signals.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2009
Complex-Valued Neural Networks.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

Erratum: "the uniqueness Theorem for Complex-Valued Neural Networks with Threshold Parameters and the Redundancy of the Parameters".
Int. J. Neural Syst., 2009

2008
The uniqueness Theorem for Complex-Valued Neural Networks with Threshold Parameters and the Redundancy of the Parameters.
Int. J. Neural Syst., 2008

On the decision boundaries of hyperbolic neurons.
Proceedings of the International Joint Conference on Neural Networks, 2008

2004
Orthogonality of Decision Boundaries in Complex-Valued Neural Networks.
Neural Comput., 2004

2003
The uniqueness theorem for complex-valued neural networks and the redundancy of the parameters.
Systems and Computers in Japan, 2003

Solving the XOR problem and the detection of symmetry using a single complex-valued neuron.
Neural Networks, 2003

On the inherent property of the decision boundary in complex-valued neural networks.
Neurocomputing, 2003

The Computational Power of Complex-Valued Neuron.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Redundancy of the parameters of the complex-valued neural network.
Neurocomputing, 2002

2000
An Analysis of the Fundamental Structure of Complex-Valued Neurons.
Neural Process. Lett., 2000

1999
Emotion Memory Model.
Proceedings of the 17th IASTED International Conference on Applied Informatics, 1999

1998
The Stability of the Solution in Fully Connected Neural Networks with the Encouragement Factor.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
An Extension of the Back-Propagation Algorithm to Complex Numbers.
Neural Networks, 1997

The Supremum and the Infimum of the Encouragement Factor in the Gaussian Machine.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997

1995
A quaternary version of the back-propagation algorithm.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

Ability of the complex backpropagation algorithm to learn similar transformation.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1993
An Extension of the Back-Propagation Algorithm to Three Dimensions by Vector Product.
Proceedings of the Fifth International Conference on Tools with Artificial Intelligence, 1993


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