Interesting References

Recommended literature for the Computational Intelligence Laboratory members and collaborators - this list is not intended as a collection of best references, resources of current interest are added here.

NN Architectures and Learning

	Penny W and Roberts SJ. Neural Networks with Error Bars. Departmental report, also submitted to IEEE transactions on neural networks, February 1997, available here
	Lev Goldfarb, papers on inductive learnig, beyond vector and symbolic learning?

SOM

Data Exploration Using Self-Organizing Maps, Samuel Kaski, Helsinki University of Technology: Thesis html-version, compressed postscript, 300K

Transfer functions

Conic section, Dorffner G.: A Unified Framework for of MLPs and RBFNs: Introducing Conic Section Function Networks, Cybernetics & Systems 25 (4), 1994. Also OFAI TR 93-25.

Books

	Genetic Programming Notebook on-line
	Information Theory, Probability and Neural Networks, Canadian mirror site; by David J.C. MacKay, skopiowana
	Introduction to machine learning, Nillson, Stanford, skopiowana
	Mathematical Methods for Neural Network Analysis and Design, Richard M. Golden, MIT book, czy to warto kupić?

Discussion lists

Hayek-L on listserv@maelstrom.stjohns.edu, Hayek is the co-originator of the Hebb-Hayek synaptic learning model, and author of the well known _The Sensory Order_,