C
Candida Ferreira
Guest
I am pleased to announce the publication of the book:
Gene Expression Programming: Mathematical Modeling by an Artificial
Intelligence
by Candida Ferreira, 2002.
272 pp. ISBN 972-95890-5-4
In this first book on gene expression programming the author describes
thoroughly the basic gene expression algorithm and numerous modifications to
this new algorithm, providing all the implementation details so that anyone
with elementary programming skills will be able to implement it themselves.
As a powerful meta-language, gene expression programming touches all the
fields of computer intelligence and everyone who faces challenging problems
and cannot solve them using either traditional mathematical approaches or
sophisticated machine learning techniques can benefit from the practical
understanding of this new powerful technique.
The book is self-contained and can be used by people with little knowledge
of calculus and no prerequisites associated with knowledge of any
programming language are required.
The book provides an introduction to this new exciting field of computer
intelligence, including a large body of previously unpublished materials
such as:
o data mining
o classifier systems
o parameter optimization
o evolution of Kolmogorov-Gabor polynomials
o times series prediction
o evolution of linking functions
o multicellular systems
o automatically defined functions
o user defined functions
o complete neural network induction
The book also discusses some important and controversial evolutionary topics
that might be refreshing to both evolutionary computists and evolutionary
biologists.
For further information and to order online, please go to:
http://www.gene-expression-programming.com/gep/Books/index.asp
Best regards,
Candida Ferreira
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Candida Ferreira, Ph.D.
Chief Scientist, Gepsoft
73 Elmtree Drive
Bristol BS13 8NA, UK
ph: +44 (0) 117 330 9272
www.gepsoft.com/gepsoft
www.gene-expression-programming.com/author.asp
----------------------------------------------------------------------------
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Gene Expression Programming: Mathematical Modeling by an Artificial
Intelligence
by Candida Ferreira, 2002.
272 pp. ISBN 972-95890-5-4
In this first book on gene expression programming the author describes
thoroughly the basic gene expression algorithm and numerous modifications to
this new algorithm, providing all the implementation details so that anyone
with elementary programming skills will be able to implement it themselves.
As a powerful meta-language, gene expression programming touches all the
fields of computer intelligence and everyone who faces challenging problems
and cannot solve them using either traditional mathematical approaches or
sophisticated machine learning techniques can benefit from the practical
understanding of this new powerful technique.
The book is self-contained and can be used by people with little knowledge
of calculus and no prerequisites associated with knowledge of any
programming language are required.
The book provides an introduction to this new exciting field of computer
intelligence, including a large body of previously unpublished materials
such as:
o data mining
o classifier systems
o parameter optimization
o evolution of Kolmogorov-Gabor polynomials
o times series prediction
o evolution of linking functions
o multicellular systems
o automatically defined functions
o user defined functions
o complete neural network induction
The book also discusses some important and controversial evolutionary topics
that might be refreshing to both evolutionary computists and evolutionary
biologists.
For further information and to order online, please go to:
http://www.gene-expression-programming.com/gep/Books/index.asp
Best regards,
Candida Ferreira
----------------------------------------------------------------------------
-
Candida Ferreira, Ph.D.
Chief Scientist, Gepsoft
73 Elmtree Drive
Bristol BS13 8NA, UK
ph: +44 (0) 117 330 9272
www.gepsoft.com/gepsoft
www.gene-expression-programming.com/author.asp
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