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MATLAB
5, 6 and 7 user friendly, 1.8Mb,
(parsed i.e., P-) code
LEARNSC for :-
- Classical and Novel 1D Approximation
Tools
- Support Vector Machines for 1D
and 2D (Non) linear Classification
- Support Vector Machines for 1D
(Non) linear Regression
- Neural Networks: Multilayer Perceptron
(EBP learning) and RBF network
- Fuzzy Logic Modeling 1 - Vehicle
Guidance by FL Control System
- Fuzzy Logic Modeling 2 - FL
Control of Mobile Robots
Free slides: (Acrobat
Reader is required to view the slides)
Slides provided here are developed around the two basic notion
of the book
- Learning from
Experimental Data, (samples, observations, records,
measurements, patterns, examples) by SVMs and NNs, 820kB,
and
- Embedding Structured
Human Knowledge, into workable mathematical models
by FL, 580kB.
They are intended to support both the instructors in the development
and delivery of course content and the learners in acquiring
the ideas and techniques presented in the book in a more pleasant
way than just reading.
Clicking on the download
links will automatically start the download process.
Files have been compressed using WinZip
Purchase:
The readers interested in authors
programming solutions may purchase the source MATLAB
code (*.m files) of the program package LEARNSC (for
the MATLAB Releases R11 and R12, i.e., for the MATLAB 5 and
MATLAB 6, respectively) from the same site. Note that the software
package LEARNSC that corresponds to this book (including its
each particular routine) is for fair use only and free for
all educational purposes. The programs may not be used for
any kind of commercial activity.
To order LEARNSC source
code (*.m files) CLICK HERE.
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