| Project/Area Number |
01860036
|
|---|
| Research Category |
Grant-in-Aid for Developmental Scientific Research
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
農業機械
|
|---|
| Research Institution | University of Osaka Prefecture (1990-1991)
Ishikawa Agricultural College (1989) |
|---|
Principal Investigator |
MURASE Haruhiko Univ. of Osaka Pref., Agriculture Eng. Dept., Assoc. Prof., 農学部, 助教授 (20137243)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
NISHIURA Yoshihumi Univ. of Osaka Pref., Agri. Eng. Dept., Assoc. Prof., 農学部・農業工学科, 助手 (80221472)
TAKIGAWA Hiroshi Univ. of Osaka Pref., Agri. Eng. Dept., Assoc. Prof., 農学部・農業工学科, 助手 (30081566)
HONAMI Nobuo Univ. of Osaka Pref., Agri. Eng. Dept., Assoc. Prof., 農学部・農業工学科, 教授 (50081493)
大角 雅晴 石川県農業短期大学, 農業工学科, 助手 (40203715)
桶 敏 石川県農業短期大学, 農業工学科, 助手 (80177203)
|
|---|
| Project Period (FY) |
1989 – 1991
|
| Project Status |
Completed (Fiscal Year 1991)
|
| Budget Amount *help |
¥9,000,000 (Direct Cost: ¥9,000,000)
Fiscal Year 1991: ¥300,000 (Direct Cost: ¥300,000)
Fiscal Year 1990: ¥3,100,000 (Direct Cost: ¥3,100,000)
Fiscal Year 1989: ¥5,600,000 (Direct Cost: ¥5,600,000)
|
|---|
| Keywords | group method of data handling / GMDH / neural networks / MIMO system / numerical interface / simultaneous control / fuzzy system / plant-machinery-environment system |
|---|
| Research Abstract |
Major elements that compose the plant production system are plant, machinery and environment. The types of data or information that can be observed on those mplor elements are incompatible in general. The objective of this research project is to develop a design system of numerical interface that enable us to transfer different types of data from one element of another. Many studies on problems existing in each physical element in agricultural system have been done and accumulated many useful resofts. Cross relationships between research resofts obtained from different elements of agricultural systems are not always determinable. This is because that the plant-machine-environment system is complex and macrostructured. The importance of interfacing data transfer between different elemental data has been recognized. Most of this type of problems have been handied by system science approach.
In this project, by considering the plant-machinery- environment system as a non linear MIMO system
… More
, An establishment of general method for determining numerical interface that can make all different types of elemental peripherals of the system shake hands was attempted. The group method of data handling(GMDH)is known as a useful technique of nonlinear system identification. fts molt remarkable advantage is not to require a priori information on relationship between output and inputs. GMDH seer-selects the structure of the model. The conventional GMDH, however, abhors problems containing Mufti Input Mufti Output(MIMO)systems. This is because the conventional GMDH algorithm employs a second order polynomial function as a basic function of which independent variable is treated as a single object variable.
It is the purpose of this paper to develop an Improved algorithm for GMDH that can handle MIMO systems wdh retaining all useful features of GMDH in non-linear system identification. An application of three-layered neural networks, which have been known to be universal in the sense that they can do anything that a network with more layers can, makes ft possible to avoid the use of polynomial function In GMDH algorithm. The Neuro-GMDH presented here is a combined algorithm of the neuro computing and GMDH. Less
|
