Feedforward Neural Network Methodology
The decade prior to publication has seen an explosive growth in com- tational speed and memory and a rapid enrichment in our understa- ing of arti?cial neural networks. These two factors have cooperated to at last provide systems engineers and statisticians with a working, prac- cal, and successful...
Κύριος συγγραφέας: | Fine, Terrence L. (Συγγραφέας) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
1999.
|
Σειρά: | Information Science and Statistics,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Computational Architectures Integrating Neural And Symbolic Processes A Perspective on the State of the Art /
Έκδοση: (1995) -
All of Nonparametric Statistics
ανά: Wasserman, Larry
Έκδοση: (2006) -
Unified Computational Intelligence for Complex Systems
ανά: Seiffertt, John, κ.ά.
Έκδοση: (2010) -
Practical Hydroinformatics Computational Intelligence and Technological Developments in Water Applications /
Έκδοση: (2008) -
On Probabilistic Conditional Independence Structures
ανά: Studený, Milan
Έκδοση: (2005)