๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Self-Organising Maps || Index

โœ Scribed by Agarwal, Pragya; Skupin, Andr


Publisher
John Wiley & Sons, Ltd
Year
2008
Tongue
English
Weight
118 KB
Edition
1
Category
Article
ISBN
0470021675

No coin nor oath required. For personal study only.

โœฆ Synopsis


self-organising Maps: Applications In Geographic Information Science Brings Together Innovative Geographic Research Involving Use Of The Self-organising Map (som) Method. The Range Of Applications In This Book Demonstrates How Innovative Artificial Intelligence And Neural Network Methods Such As Soms Offer Novel Opportunities To Geospatial Experts And How These Tools Can Be Adapted For Specific Geographic Needs. The Book Begins With An Overview Of The Som Technique And The Most Commonly Used (and Often Freely Available) Software. It Then Looks At Different Uses Of The Technique, Namely Clustering, Data Mining, And Cartography, From A Range Of Application Areas In Physical And Socio-economic Environments.

this Book Will Be An Invaluable Reference To Researchers In The Field Who Are Looking For A Comprehensive Overview Of The Subject, By Providing A Clear Explanation And Understanding Of This Novel Technique. Advanced Undergraduates And Post-graduates Undertaking A Research Project In Giscience Techniques Will Also Find This Book Useful.

  • a Comprehensive Overview Of Cutting-edge Research On Applying The Classic Som Method To A Range Of Giscience Applications.

  • chapters Cover A Range Of Techniques Including Clustering And Data Mining And All Include Appropriate Case Studies To Enhance Understanding.

  • presents Balanced Coverage Of Physical And Socio-economic Applications.

  • includes Contributions From Leading International Researchers In The Field.


๐Ÿ“œ SIMILAR VOLUMES


Self-Organising Maps || Front Matter
โœ Agarwal, Pragya; Skupin, Andr ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley & Sons, Ltd ๐ŸŒ English โš– 151 KB

*self-organising Maps: Applications In Geographic Information Science* Brings Together Innovative Geographic Research Involving Use Of The Self-organising Map (som) Method. The Range Of Applications In This Book Demonstrates How Innovative Artificial Intelligence And Neural Network Methods Such As S

Self-Organising Maps || Epilogue: Intell
โœ Agarwal, Pragya; Skupin, Andr ๐Ÿ“‚ Article ๐Ÿ“… 2008 ๐Ÿ› John Wiley & Sons, Ltd ๐ŸŒ English โš– 110 KB

*self-organising Maps: Applications In Geographic Information Science* Brings Together Innovative Geographic Research Involving Use Of The Self-organising Map (som) Method. The Range Of Applications In This Book Demonstrates How Innovative Artificial Intelligence And Neural Network Methods Such As S

Self-dual Cayley Maps
โœ Mark S. Anderson; R. Bruce Richter ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 136 KB

The purpose of this paper is to study self-dual embeddings of balanced Cayley maps. Given a Cayley map, necessary and sufficient conditions are given in terms of its underlying group for the map to be isomorphic to its dual embedding. Applications include self-dual embeddings of 2n-dimensional cubes