Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jing Liu Yalu Cao Ping Wang Li Peng Renchun Lian Xixin Cao |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Software and Microelectronics, Peking University, China (Jing Liu; Yalu Cao; Ping Wang; Xixin Cao) || Inspeed Communication Co., Ltd, China (Renchun Lian) || School of IoT Engineering, Jiangnan University, China (Li Peng) |
| Abstract | The compensation fuzzy neural network (CFNN) with fast learning algorithm and compensation fuzzy inference is proposed in this paper. And a new variable structure compensation fuzzy neural network (VS-CFNN) is proposed on the basic of CFNN. The fuzzy rules of the nodes are changed with the input nodes. The triangular function and parameter choosing methods have been given. At the mean time, the parameters have also been adjusted through BP algorithm. Simulation results verify that the VS-CFNN has higher identification precision and faster identification speed than the ordinary FNN in identification. The proposed method has also been implemented to identify the Krasnosel'skii's hysteron hysteresis model parameters of an electrical valve actuator installed on a pneumatic system. Three types of sensors (actuator position, air pressure and mass airflow rate) are used to investigate the hysteresis model parameter identification using the proposed VS-CFNN method. The experimental results have demonstrated the effectiveness of the proposed method. |
| Starting Page | 971 |
| Ending Page | 975 |
| File Size | 1050918 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467301503 |
| ISSN | 17389445 |
| e-ISBN | 9788955191639 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-02-19 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | GIRI |
| Subject Keyword | Educational institutions Atmospheric modeling Geology Control theory identification CFNN variable structure learning algorithms |
| 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...
|