Predictive Modular Neural Networks is popular PDF and ePub book, written by Vassilios Petridis in 2012-12-06, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Predictive Modular Neural Networks can be Read Online from any device for your convenience.

Predictive Modular Neural Networks Book PDF Summary

The subject of this book is predictive modular neural networks and their ap plication to time series problems: classification, prediction and identification. The intended audience is researchers and graduate students in the fields of neural networks, computer science, statistical pattern recognition, statistics, control theory and econometrics. Biologists, neurophysiologists and medical engineers may also find this book interesting. In the last decade the neural networks community has shown intense interest in both modular methods and time series problems. Similar interest has been expressed for many years in other fields as well, most notably in statistics, control theory, econometrics etc. There is a considerable overlap (not always recognized) of ideas and methods between these fields. Modular neural networks come by many other names, for instance multiple models, local models and mixtures of experts. The basic idea is to independently develop several "subnetworks" (modules), which may perform the same or re lated tasks, and then use an "appropriate" method for combining the outputs of the subnetworks. Some of the expected advantages of this approach (when compared with the use of "lumped" or "monolithic" networks) are: superior performance, reduced development time and greater flexibility. For instance, if a module is removed from the network and replaced by a new module (which may perform the same task more efficiently), it should not be necessary to retrain the aggregate network.

Detail Book of Predictive Modular Neural Networks PDF

Predictive Modular Neural Networks
  • Author : Vassilios Petridis
  • Release : 06 December 2012
  • Publisher : Springer Science & Business Media
  • ISBN : 9781461555551
  • Genre : Science
  • Total Page : 311 pages
  • Language : English
  • PDF File Size : 19,6 Mb

If you're still pondering over how to secure a PDF or EPUB version of the book Predictive Modular Neural Networks by Vassilios Petridis, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.

Get Book

Predictive Modular Neural Networks

Predictive Modular Neural Networks Author : Vassilios Petridis,Athanasios Kehagias
Publisher : Springer Science & Business Media
File Size : 45,8 Mb
Get Book
The subject of this book is predictive modular neural networks and their ap plication to time series...

Artificial Neural Networks in Hydrology

Artificial Neural Networks in Hydrology Author : R.S. Govindaraju,A.R. Rao
Publisher : Springer Science & Business Media
File Size : 24,9 Mb
Get Book
R. S. GOVINDARAJU and ARAMACHANDRA RAO School of Civil Engineering Purdue University West Lafayette,...

Artificial Neural Networks ICANN 2008

Artificial Neural Networks   ICANN 2008 Author : Vera Kurkova-Pohlova,Jan Koutnik,Roman Neruda
Publisher : Springer
File Size : 45,8 Mb
Get Book
This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th Interna...

Combining Artificial Neural Nets

Combining Artificial Neural Nets Author : Amanda J.C. Sharkey
Publisher : Springer Science & Business Media
File Size : 33,7 Mb
Get Book
This volume, written by leading researchers, presents methods of combining neural nets to improve th...

Neural Networks and Soft Computing

Neural Networks and Soft Computing Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
File Size : 27,8 Mb
Get Book
This volume presents new trends and developments in soft computing techniques. Topics include: neura...

Towards Hybrid and Adaptive Computing

Towards Hybrid and Adaptive Computing Author : Anupam Shukla,Ritu Tiwari,Rahul Kala
Publisher : Springer
File Size : 24,6 Mb
Get Book
Soft Computing today is a very vast field whose extent is beyond measure. The boundaries of this mag...

Applications of Soft Computing

Applications of Soft Computing Author : Ashutosh Tiwari,Joshua Knowles,Erel Avineri,Keshav Dahal,Rajkumar Roy
Publisher : Springer Science & Business Media
File Size : 45,5 Mb
Get Book
This book provides a comprehensive overview of recent advances in the industrial applications of sof...

Temporal Data Mining

Temporal Data Mining Author : Theophano Mitsa
Publisher : CRC Press
File Size : 24,7 Mb
Get Book
From basic data mining concepts to state-of-the-art advances, this book covers the theory of the sub...