Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tusor, B. Varkonyi-Koczy, A.R. Rudas, I.J. Klie, G. Kocsis, G. |
| Copyright Year | 2012 |
| Description | Author affiliation: Institute of Mechatronics and Vehicle Engineering, Óbuda University, Budapest, Hungary (Tusor, B.; Varkonyi-Koczy, A.R.) || Integrated Intelligent Systems, Japanese-Hungarian Laboratory, Óbuda University, Hungary (Klie, G.; Kocsis, G.) || Institute of Intelligent Engineering Systems, Óbuda University, Budapest, Hungary (Rudas, I.J.) |
| Abstract | Artificial Neural Networks (ANNs) can learn complex functions from the input data and are relatively easy to implement in any application. On the other hand, a significant disadvantage of their usage is they usually high training time-need, which scales with the structural parameters of the networks and the quantity of input data. However, this can be done offline; the training has a non-negligible cost and further, can cause a delay in the operation. To increase the speed of the training of the ANNs used for classification, we have developed a new training procedure: instead of directly using the training data in the training phase, the data is first clustered and the ANNs are trained by using only the centers of the obtained clusters (which are basically the compressed versions of the original input data). |
| Starting Page | 1774 |
| Ending Page | 1779 |
| File Size | 774309 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781457717734 |
| ISSN | 10915281 |
| e-ISBN | 9781457717727 |
| DOI | 10.1109/I2MTC.2012.6229471 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-13 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Accuracy Complexity theory Clustering algorithms Training data Artificial neural networks fuuzy neural networks artificial neural networks supervised learning clustering reinforced learning classification class number reductions input data compression |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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...
|