From dove!uunet!cs.utexas.edu!milano!cactus.org!parish Wed Oct 14 12:49:36 MDT 1992
Article: 4650 of comp.ai
Path: dove!uunet!cs.utexas.edu!milano!cactus.org!parish
From: parish@cactus.org (Tom Parish)
Newsgroups: sci.engr.control,comp.ai,comp.ai.neural-nets
Subject: How to find - Motorola Fuzzy logic Kit
Keywords: fuzzy logic, education
Message-ID: <1992Oct7.230658.3030@cactus.org>
Date: 7 Oct 92 23:06:58 GMT
Followup-To: poster
Organization: Capital Area Central Texas UNIX Society, Austin, Tx
Lines: 73
Xref: dove sci.engr.control:153 comp.ai:4650 comp.ai.neural-nets:4587
This note is for all of you in universities who sent me mail on how
to get the Motorola Fuzzy Logic Education Kits. Hopefully this
will help you find the kits without dealing with salesman and/or
distributors.
Here are the specifics:
-----------------------
Contact Fritz Wilson at Motorola. His sole purpose in life is to
help universities get what they need.
Fritz Wilson
Tel: 602-952-3855
FAX: 602-952-3621
Internet: univeristy_support@spshqqm.sps.moto.com
FLEDKT05(Education Kit with M68HC05EVM) $600.00
FLEDKT11(Education Kit with M68HC11EVM) $600.00
FLEDKT00(Education Kit without EVM) $195.00
FuzzBasic - just the CBT course $ 68.80
The Motorola Education Kit includes:
*Computer Based Training disks on Fuzzy logic
*Aptronix Fide Demonstration system (can save your work)
Windows based tool with visual debugging tools
for developing fuzzy logic applications.
*Motorola's KBG V2.22 DOS tools for fuzzy logic
The CBT course runs in MS Windows 3.0 or 3.1. and provides
nearly 500 screens of colorful and interactive material
that covers the following subjects:
* Fundamentals of fuzzy logic
* Methodology of design for embedded control
* Aptronix fuzzy inference development environment
* A fuzzy logic project
* Advanced topics
* Introduction to neural networks
* Glossary of terms
* Further reading
* Review questions at the end of each section
The methodology of design section includes:
* How to analyze and partition the control system
* Defining input and output surfaces
* Writing rules
* Observing model behavior, verifying and tuning as needed
* Optimizing systems for target platforms
The advanced topics area includes:
* Alpha Cuts
* Assertions
* Compatibility Index
* Contribution weights
* Stability weights
* Adaptability
* Fuzzy calculus
* Noise, randomness, ambiguity
* Higher order fuzzy sets
* Geometric Representations
I hope you find this helpful.
Fuzzy Crisp
- 1.0 | True
- .9 |
A P T R O N I X I N C. - .7 |
The Fuzzy Logic Technology Co. - .5 |
- .3 |
TEL: 512-331-0813 parish@cactus.org - .1 |
FAX: 512-331-0841 - 0 | False