| 1 |
Study of forecasting on time series data by nearest neighbor method
Hanakuma Y, Yamamoto J
KAGAKU KOGAKU RONBUNSHU, 27(2), 272, 2001 |
| 2 |
Quality control of topping plant by neural networks models
Yamamoto J, Hanakuma Y, Shokuta H, Nakanishi E
KAGAKU KOGAKU RONBUNSHU, 25(1), 23, 1999 |
| 3 |
A study of fault detection in a pump by signal analysis
Hanakuma Y, Yamamoto J
KAGAKU KOGAKU RONBUNSHU, 25(6), 1033, 1999 |
| 4 |
Present status and future tasks of nonlinear process modeling for control system design in the chemical process industry
Hanakuma Y
KAGAKU KOGAKU RONBUNSHU, 24(3), 357, 1998 |
| 5 |
A method of detecting process abnormal signals using skewness and kurtosis analysis
Hanakuma Y, Takeuchi T, Yamamoto J, Nakanishi E
KAGAKU KOGAKU RONBUNSHU, 24(3), 512, 1998 |
| 6 |
Simple design of a real-time data smoothing method to reduce a large time phase delay
Hanakuma Y, Yamamoto J, Nakanishi E
KAGAKU KOGAKU RONBUNSHU, 24(4), 686, 1998 |
| 7 |
A method of estimating research octane number of gasoline by neural networks model
Yamamoto J, Sasaki T, Hanakuma Y, Nakanishi E
KAGAKU KOGAKU RONBUNSHU, 24(4), 689, 1998 |
| 8 |
Detection of abnormal signals without trend ingredient and Bayesian statistical inference
Hanakuma Y, Yamamoto J, Nakanishi E
KAGAKU KOGAKU RONBUNSHU, 24(5), 803, 1998 |
| 9 |
Estimation of quality of petroleum products by neural networks models
Yamamoto J, Sasaki T, Hanakuma Y, Nakanishi E
KAGAKU KOGAKU RONBUNSHU, 24(6), 888, 1998 |
| 10 |
A method of detecting abnormal signals using hypothesis testing for residual sequence of AR model estimation error
Hanakuma Y, Nakaya K, Takeuchi T, Sasaki T, Nakanishi E
KAGAKU KOGAKU RONBUNSHU, 23(2), 170, 1997 |
