Research Output 1984 2019

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Paper
2013
3 Citations (Scopus)

A study on visual abstraction for reinforcement learning problem using learning vector quantization

Faudzi, A. A. M., Takano, H. & Murata, J., Jan 1 2013, p. 1326-1331. 6 p.

Research output: Contribution to conferencePaper

Vector quantization
Reinforcement learning
Learning systems
2009
3 Citations (Scopus)

Development of ecological driving assist system model predictive approach in vehicle control

Kamal, M. A. S., Mukai, M., Murata, J. & Kawabe, T., Jan 1 2009.

Research output: Contribution to conferencePaper

system model
road traffic
transportation system
Simulators
new technology
2002

Learning of symbiotic relations among agents by using neural networks

Hirasawa, K., Yoshida, H., Nakanishi, K., Hu, J. & Murata, J., Jan 1 2002, p. 583-588. 6 p.

Research output: Contribution to conferencePaper

Neural networks
Ecosystems
Large scale systems
2 Citations (Scopus)

Networks with input gates for situation-dependent input selection in reinforcement learning

Murata, J., Suzuki, M. & Hirasawa, K., Jan 1 2002, p. 5-10. 6 p.

Research output: Contribution to conferencePaper

Radial basis function networks
Reinforcement learning
20 Citations (Scopus)

Online learning of genetic network programming (GNP)

Mabu, S., Hirasawa, K., Hu, J. & Murata, J., Jan 1 2002, p. 321-326. 6 p.

Research output: Contribution to conferencePaper

Evolutionary algorithms
2001

A new robust neural network controller designing method for nonlinear systems

Chen, H., Hirasawa, K., Hu, J. & Murata, J., Jan 1 2001, p. 497-502. 6 p.

Research output: Contribution to conferencePaper

Nonlinear systems
Neural networks
Controllers
Learning algorithms

A study of functions distribution of neural networks

Xiong, Q., Hirasawa, K., Hu, J. & Murata, J., Jan 1 2001, p. 2361-2367. 7 p.

Research output: Contribution to conferencePaper

Distribution functions
Neural networks
126 Citations (Scopus)

Comparison between Genetic Network Programming(gnp) and Genetic Programming(gp)

Hirasawa, K., Okubo, M., Hu, J., Katagiri, H. & Murata, J., Jan 1 2001, p. 1276-1282. 7 p.

Research output: Contribution to conferencePaper

Genetic programming
Computer programming
Genes
Genetic algorithms
Evolutionary algorithms
4 Citations (Scopus)

Relation between weight initialization of neural networks and pruning algorithms case study on Mackey-Glass time series

Wan, W., Hirasawa, K., Hu, J. & Murata, J., Jan 1 2001, p. 1750-1755. 6 p.

Research output: Contribution to conferencePaper

Time series
Neural networks
Glass
Backpropagation algorithms
Learning algorithms

Stability analysis of nonlinear systems using high order derivatives of universal learning networks

Hirasawa, K., Yu, Y., Hu, J. & Murata, J., Jan 1 2001, p. 1273-1278. 6 p.

Research output: Contribution to conferencePaper

Nonlinear systems
Derivatives
Trajectories
2000
6 Citations (Scopus)

Growing RBF structures using self-organizing maps

Xiong, Q., Hirasawa, K., Hu, J. & Murata, J., Dec 1 2000, p. 107-111. 5 p.

Research output: Contribution to conferencePaper

Radial basis function networks
Self organizing maps
Unsupervised learning
Chemical activation
1 Citation (Scopus)

Neural networks with node gates

Myint, H. M., Murata, J., Nakazono, T. & Hirasawa, K., Dec 1 2000, p. 253-257. 5 p.

Research output: Contribution to conferencePaper

Neural networks
1 Citation (Scopus)

Universal Learning Networks with Branch Control

Hirasawa, K., Hu, J., Xiong, Q., Murata, J. & Shiraishi, Y., Jan 1 2000, p. 97-102. 6 p.

Research output: Contribution to conferencePaper

1999
1 Citation (Scopus)

Size-reducing RBF networks

Murata, J., Itoh, S. & Hirasawa, K., Dec 1 1999, p. 1308-1312. 5 p.

Research output: Contribution to conferencePaper

Radial basis function networks
1998
1 Citation (Scopus)

Artificial neural networks with input gates

Murata, J., Noda, T. & Hirasawa, K., Jan 1 1998, p. 480-485. 6 p.

Research output: Contribution to conferencePaper

Multilayer neural networks
Neural networks
1 Citation (Scopus)

Identification of nonlinear black-box systems based on Universal Learning Networks

Hu, J., Hirasawa, K., Murata, J., Ohbayashi, M. & Kumamaru, K., Jan 1 1998, p. 2465-2470. 6 p.

Research output: Contribution to conferencePaper

Dynamical systems
Neural networks

New random search method for Neural Networks learning - Random Search with Variable Search Length (Ras Val)

Hirasawa, K., Togo, K., Murata, J., Ohbayashi, M., Shao, N. & Hu, J., Jan 1 1998, p. 1602-1607. 6 p.

Research output: Contribution to conferencePaper

Backpropagation
Neural networks
Cranes
Probability density function
Momentum
7 Citations (Scopus)

Robust control for nonlinear systems by Universal Learning Network considering fuzzy criterion and second order derivatives

Ohbayashi, M., Hirasawa, K., Toshimitsu, K., Murata, J. & Hu, J., Jan 1 1998, p. 968-973. 6 p.

Research output: Contribution to conferencePaper

Robust control
Nonlinear systems
Derivatives
Neural networks
Control systems
1996
13 Citations (Scopus)

Robust learning control using universal learning network

Ohbayashi, M., Hirasawa, K., Murata, J. & Harada, M., Jan 1 1996, p. 2208-2213. 6 p.

Research output: Contribution to conferencePaper

Control systems
Controllers
Systems analysis
Derivatives
Neural networks
1995
1 Citation (Scopus)

Controller design using parametric neural networks

HashemiNejad, M., Murata, J. & Hirasawa, K., Dec 1 1995, p. 1275-1280. 6 p.

Research output: Contribution to conferencePaper

Neural networks
Controllers
29 Citations (Scopus)

Universal learning network and computation of its higher order derivatives

Hirasawa, K., Ohbayashi, M. & Murata, J., Dec 1 1995, p. 1273-1277. 5 p.

Research output: Contribution to conferencePaper

Large scale systems
Derivatives
Time delay
Recurrent neural networks
Backpropagation
1994

System identification using neural network with parametric sigmoid function

Hasheminejad, M., Murata, J. & Hirasawa, K., Dec 1 1994, p. 39-44. 6 p.

Research output: Contribution to conferencePaper

Identification (control systems)
Neural networks
Network architecture
Nonlinear systems
Chemical activation