Development of Design System of Numerical Interface Between Physical Elements of Agricultural System Based in Fuzzy Theory and Heuristic Self Organization Method
Development of Design System of Numerical Interface Between Physical Elements of Agricultural System Based in Fuzzy Theory and Heuristic Self Organization Method
批准号:
01860036
负责人:
MURASE Haruhiko
金额:
$5.76万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Developmental Scientific Research
财政年份:
1989
资助国家:
日本
项目状态:
已结题
起止时间:
1989 至 1991
中文摘要
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英文摘要
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
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村瀬 治比古: "ニュ-ネットワ-クによる閉内温度・湿度同時制御-温湿度系の同定-" 農業機械学会関西支部報. 第71号. 45-48 (1992)
Haruhiko Murase:“使用新网络同时控制封闭温度和湿度 - 温度和湿度系统的识别”日本农业机械工程师学会关西分会杂志第 71. 45-48 号(1992 年)。
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Haruhiko Murase: "Kalman Filter Neuron Training" Bulletin of The Univ.of Osaka Pref.Vol.43. 1-12 (1991)
Haruhiko Murase:“卡尔曼滤波器神经元训练”大阪府立大学通报第 43 卷。
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Haruhiko Murase: "Quick neuron training algorithm by making use of Kalman filter" Proc. 7th Software Conf. OSC, Osaka, Japan. 103-106 (1991)
Haruhiko Murase:“利用卡尔曼滤波器的快速神经元训练算法”Proc。
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村瀬 治比古: "カルマンニュ-ラルネットワ-クによる閉内温度・湿度同時制御ー温湿度系の同定ー" 生物環境調節. 30(1). 37-44 (1992)
Jihiko Murase:“通过卡尔曼神经网络同时控制封闭外壳内的温度和湿度 - 温度和湿度系统的识别”生物环境法规 30(1) (1992)。
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村瀬 治比古: "ニュ-ロGMDHによるMIMOシステムの同定" 農業機械学会関西支部報. 第72号. 79-80 (1992)
Jhiko Murase:“使用 Neuro-GMDH 识别 MIMO 系统”日本农业机械学会关西分会杂志第 72. 79-80 号(1992 年)。
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