tech report available by ftp

[honavar@iastate.edu]

The following technical report is available in postscript form
by anonymous ftp (courtesy Jordan Pollack of Ohio State Univ). 

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Generative Learning Structures and Processes for
Generalized Connectionist Networks

Vasant Honavar				Leonard Uhr 
Department of Computer Science		Computer Sciences Department 
Iowa State University			University of Wisconsin-Madison 

		Technical Report #91-02, January 1991 
		Department of Computer Science
		Iowa State University, Ames, IA 50011 

				Abstract


Massively parallel networks of relatively simple computing elements offer
an attractive and versatile framework for exploring a variety of learning
structures and processes for intelligent systems. This paper briefly 
summarizes the popular learning structures and processes used
in such networks. It outlines a range of potentially more powerful alternatives
for pattern-directed inductive learning in such systems. 
It motivates and  develops a class of new learning algorithms for 
massively parallel networks of simple computing elements. 
We call this class of learning processes \fIgenerative\fR for they 
offer a set of mechanisms for constructive and adaptive determination of 
the network architecture - the number of processing elements and the
connectivity among them - as a function of experience.
Such generative learning algorithms attempt to overcome some of the
limitations of some approaches to learning in networks that rely 
on modification of \fIweights\fR on the links within an otherwise fixed 
network topology e.g., rather slow learning and
the need for an a-priori choice of a network architecture. 
Several alternative designs, extensions and refinements of 
generative learning algorithms, as well as a range of control structures
and processes which can be used to regulate the form and content of
internal representations learned by such networks are examined.
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220 cheops.cis.ohio-state.edu FTP server (Version blah blah) ready.
Name (cheops.cis.ohio-state.edu:yourname): anonymous
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ftp> get honavar.generate.ps.Z 
200 PORT command successful.
150 Opening BINARY mode data connection for honavar.generate.ps.Z (55121 bytes).
226 Transfer complete.
local: honavar.generate.ps.Z remote: honavar.generate.ps.Z
55121 bytes received in 1.8 seconds (30 Kbytes/s)
ftp> quit
221 Goodbye.
% uncompress honavar.generate.ps.Z
% lpr honavar.generate.ps