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Development of Design System of Numerical Interface Between Physical Elements of Agricultural System Based in Fuzzy Theory and Heuristic Self Organization Method

基于模糊理论和启发式自组织方法的农业系统物理要素数值接口设计系统的开发

基本信息

批准号：
01860036
负责人：
MURASE Haruhiko
金额：
$ 5.76万
依托单位：
University of Osaka Prefecture (1990-1991)Ishikawa Agricultural College (1989)
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
起止时间：
1989 至 1991
项目状态：
已结题

项目摘要

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

构成植物生产系统的主要要素是植物、机械和环境。在这些mplor元素上可以观察到的数据或信息的类型通常是不兼容的。本研究项目的目标是开发一个数字接口设计系统，使我们能够从一个元素传输不同类型的数据到另一个元素。对农业系统中各物理要素存在的问题进行了大量的研究，积累了许多有益的成果。从农业系统的不同要素获得的研究结果之间的交叉关系并不总是确定的。这是因为植物-机器-环境系统是复杂的宏观结构。不同基本数据之间的接口数据传输的重要性已得到认可。这类问题大多采用系统科学的方法来解决，本课题将植物-机械-环境系统看作一个非线性多输入多输出系统， ...更多信息尝试建立一种通用的确定数字接口的方法，使系统中各种不同类型的基本外设都能握手。分组数据处理方法（GMDH）是一种有效的非线性系统辨识方法。FTS MOLT显著的优点是不需要关于输出和输入之间的关系的先验信息。GMDH对模型的结构进行了seer选择。然而，传统的GMDH厌恶包含多输入多输出（MIMO）系统的问题。这是因为传统的GMDH算法采用二阶多项式函数作为基本函数，将自变量作为单一的目标变量，本文的目的是提出一种改进的GMDH算法，它能处理MIMO系统，同时保留了GMDH在非线性系统辨识中的所有有用特性。三层神经网络的应用，这已经被称为是通用的意义上，他们可以做任何事情，一个网络有更多的层，使FT可能避免使用多项式函数在GMDH算法。本文提出的神经GMDH算法是神经计算和GMDH算法的结合。少