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AFM10

Features: ·Up to 8 Input Variables and 4 Output Variables·Up to 8 Fuzzy Sets for each Input Variables·Up to 214 Fuzzy Rules·Rules Learning Phase using an unsupervised WTA-FAM·Membership Functions Learning Phase using a supervised BACK-FAM·Automatic and Manual Learning Rate·Rules Minimizer·Gaussian...

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SeekIC No. : 004278552 Detail

AFM10: Features: ·Up to 8 Input Variables and 4 Output Variables·Up to 8 Fuzzy Sets for each Input Variables·Up to 214 Fuzzy Rules·Rules Learning Phase using an unsupervised WTA-FAM·Membership Functions Le...

AFM10 Data Sheet

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Part Number:
AFM10
Supply Ability:
5000

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  • 1~5000
  • Unit Price
  • Negotiable
  • Processing time
  • 15 Days
Total Cost: $ 0.00

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Upload time: 2024/12/30

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Product Details

Description



Features:

·Up to 8 Input Variables and 4 Output Variables
·Up to 8 Fuzzy Sets for each Input Variables
·Up to 214 Fuzzy Rules
·Rules Learning Phase using an unsupervised WTA-FAM
·Membership Functions Learning Phase using a supervised BACK-FAM
·Automatic and Manual Learning Rate
·Rules Minimizer
·Gaussian and Triangular Membership
·Functions Shape
·Inference method based on Product or Minimum
·Step-by-Step and from File Simulation available
·Supported Target: W.A.R.P. 1.1, W.A.R.P. 2.0, MATLAB and ANSI C


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 sampling of a process/function expressed in terms of Input\Output values pairs (patterns). AFM10's 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 represents an optimized approximation of the process/ function provided as input. The AFM has the capability to translate AFM10's project files to FUZZYSTUDIOÔ project files, MATLAB and C code, in order to use this environment as a support for simulation and control . The block diagram in fig.2 illustrates the AFM logic flow.




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