I. Matsuba

发表

Information theoretical approach to the storage capacity of neural networks with binary weights.

H. Suyari, I. Matsuba, 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

On rigorous derivation of learning curves

H. Suyari, I. Matsuba, 2001, IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222).

New embedding technique for estimating the delay

I. Matsuba, T. Ohkuma, 2000 .

Neural Networks in three dimensions producing 1/f spectra

H. Suyari, I. Matsuba, Y. Kamitani, 2001 .

Thermoelastic model of dislocations in wafers

I. Matsuba, T. Aoshima, K. Mokuya, 1986, 1986 International Electron Devices Meeting.

Real-Space Renormalization Group Approach to Critical Dynamics— Migdal Approximation and Other New Methods —

T. Chikama, M. Suzuki, I. Matsuba, 1979 .

Practical chaos time series analysis with financial applications

Hiroki Suyari, I. Matsuba, H. Suyari, 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.

I. Matsuba, Y. Kamitani, 2004 .

Solving the balance problem of massively multiplayer online role-playing games using coevolutionary programming

Ikuo Matsuba, Yasukuni Mori, Haoyang Chen, 2014, Appl. Soft Comput..

Optimal simulated annealing method and its application to combinatorial problems

I. Matsuba, I. Matsuba, 1989, International 1989 Joint Conference on Neural Networks.

A Competitive Markov Approach to the Optimal Combat Strategies of On-Line Action Role-Playing Game Using Evolutionary Algorithms

Ikuo Matsuba, Yasukuni Mori, Haoyang Chen, 2012 .

Solving the Balance Problem of On-Line Role-Playing Games Using Evolutionary Algorithms

Ikuo Matsuba, Yasukuni Mori, Haoyang Chen, 2012 .

Stochastically Equivalent Dynamical System Approach to Nonlinear Deterministic Prediction

Hiroshi Takahashi, Ikuo Matsuba, Shinya Wakasa, 2006, Int. J. Bifurc. Chaos.

Transient behavior of spin-coated resist film thickness based on invariance of viscous fluid under similarity transformation

I. Matsuba, K. Matsumoto, 1986, IEEE Transactions on Electron Devices.

Scaling in buckling of long columns

I. Matsuba, Yoshiaki Mukuta, 2004 .

Renormalization group approach to earthquake scaling

I. Matsuba, 2002 .

Application of neural sequential associator to long-term stock price prediction

I. Matsuba, I. Matsuba, 1991, [Proceedings] 1991 IEEE International Joint Conference on Neural Networks.

Derivation of 1/f fluctuations by means of the spatial coarse‐graining method for a neural network model

Ikuo Matsuba, Hiroki Suyari, Yoshinobu Kamitani, 2004 .

Parameter renormalization of maps based on potential function.

I. Matsuba, 1997, Chaos.

SCALING OF POTENTIAL FUNCTION DERIVED FROM PARAMETER RENORMALIZATION OF MAPS

I. Matsuba, 1997 .

Alleviating the Sparsity Problem of Collaborative Filtering Using an Efficient Iterative Clustered Prediction Technique

Hiroo Sekiya, Yasuo Horiuchi, Shingo Kuroiwa, 2012, Int. J. Inf. Technol. Decis. Mak..

Feature Optimization Approach for Improving the Collaborative Filtering Performance Using Particle Swarm Optimization

Yasuo Horiuchi, Shingo Kuroiwa, Ikuo Matsuba, 2012 .

Parameter renormalization group approach to noisy one-dimensional maps

I. Matsuba, 2000 .

PARAMETER RENORMALIZATION FOR ASYMMETRICALLY COUPLED MAPS

I. Matsuba, 1999 .