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STFLAFM10SW

更新时间： 2024-09-30 22:31:35

品牌	Logo	应用领域
意法半导体 - STMICROELECTRONICS		/
页数	文件大小	规格书
4页	92K
描述
ADAPTIVE FUZZY MODELLER

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数据手册

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STFLAFM10SW 数据手册

AFM 1.0

ADAPTIVE FUZZY MODELLER

ADVANCED DATA

Up to 8 Input Variables and 4 Output Variables

Up to 8 Fuzzy Sets for each Input Variables

Up to 2¹⁴Fuzzy Rules

DESCRIPTION

Adaptive Fuzzy Modeller (AFM) is a tool that easily

allows to obtain a model of a system based on

Fuzzy Logic data structure, starting from the sam-

pling of a process/function expressed in terms of

Input\Output values pairs (patterns).

Rules Learning Phase using an unsupervised

WTA-FAM

Membership Functions Learning Phase using

a supervised BACK-FAM

Its primary capability is the automatic generation of

a database containing the inference rules and the

parameters describing the membership functions.

The generated Fuzzy Logic knowledge base rep-

resents an optimized approximation of the proc-

ess/function provided as input.

Automatic and Manual Learning Rate

Rules Minimizer

Gaussian and Triangular Membership

Functions Shape

The AFM has the capability to translate its project

files to FUZZYSTUDIO project files, MATLAB

and C code, in order to use this environment as a

support for simulation and control .

Inference method based on Product or Minimum

Step-by-Step and from File Simulation available

The block diagram in fig.2 illustrates the AFM logic

flow.

Supported Target: W.A.R.P. 1.1, W.A.R.P. 2.0,

MATLAB and ANSI C

Figure 1. Block Diagram

May 1996

1/4

This is advance information on a new product now in development or undergoing evaluation. Details are subject to change without notice.

12 3 4

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