Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Frize, M. Ennett, C.M. Charette, E. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont., Canada (Frize, M.) |
| Abstract | Our artificial neural network (ANN) software requires nine parameters to be initialized when running an experiment. Tuning each parameter for optimum ANN performance, one at a time, is very time-consuming since a user must adjust each or a combination of these parameters to obtain optimal results. The objective of this work was to develop a program that automatically optimizes all of these parameters without user supervision. The problem was approached using a "divide and conquer" technique. The ANN results obtained with the new automated network were compared with results obtained previously with the manual method. In addition, a new stopping criterion where the network monitors its own performance to choose when to stop training was introduced. The accuracy of the new ANN was similar to the previously manually-optimized networks. The network parameters' sensitivity curves, in determining the highest correct classification rate (best accuracy), show that the momentum, learning rate, learning rate increment, and the error ratio were the most sensitive parameters; the weight-decay constant and the learning rate decrement were least sensitive on network performance. The improvements in the experimental approach allow our future experiments to be run around the clock on several computers simultaneously, and without user supervision. |
| Starting Page | 168 |
| Ending Page | 173 |
| File Size | 635008 |
| Page Count | 6 |
| File Format | |
| ISBN | 078036449X |
| DOI | 10.1109/ITAB.2000.892380 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-11-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Intelligent networks Artificial neural networks Ventilation Transfer functions Databases Biomedical engineering Feedforward systems Backpropagation Hospitals |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| Sl. | Authority | Responsibilities | Communication Details |
|---|---|---|---|
| 1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
| 2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
| 3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
| 4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
| 5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
| 6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
| 7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
| 8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
| 9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
|
Loading...
|