| Type of Material: | Thesis |
| Title: | Investigations on Optimization of Antenna Parameters using the Adaptive Neuro Fuzzy Inference System |
| Researcher: | Gehani, Aarti |
| Guide: | Pujara, Dhaval |
| Department: | Institute of Technology |
| Publisher: | Nirma University, Ahmedabad |
| Place: | Ahmedabad |
| Year: | 2018 |
| Language: | English |
| Subject: | Engineering | Engineering and Technology | Engineering Electrical and Electronic | Inference System | Neuro-Fuzzy | Electrical Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Institute of Technology, Nirma University, Ahmedabad, Ahmedabad |
| Fulltext: | Shodhganga |
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| 001 | 456582 | |
| 003 | IN-AhILN | |
| 005 | 2024-10-11 11:53:38 | |
| 008 | __ | 241011t2018||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_456582 |
| 040 | __ | |aNIRU_382481|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aGehani, Aarti|eResearcher |
| 110 | __ | |aInstitute of Technology|bNirma University, Ahmedabad|dAhmedabad|ein|0U-0146 |
| 245 | __ | |aInvestigations on Optimization of Antenna Parameters using the Adaptive Neuro Fuzzy Inference System |
| 260 | __ | |aAhmedabad|bNirma University, Ahmedabad|c2018 |
| 300 | __ | |dDVD |
| 502 | __ | |cInstitute of Technology, Nirma University, Ahmedabad, Ahmedabad|bPhD |
| 518 | __ | |d2018|oDate of Award |
| 518 | __ | |oDate of Registration|d2011 |
| 520 | __ | |aAn antenna is at the heart of all wireless communication systems. In fact, wireless communication is impossible without antennas. Antennas play a critical role in deciding the overall performance of the wireless system. Hence, designing an antenna with required speci cations is crucial, as it involves trade-o s between various design and performance parameters. Over the last several decades, many conventional electromagnetic techniques such as the nite element method, method of moments, di erential equation and others have been employed to design and optimize antennas. These techniques involve relatively complex analytical models and lengthy calculations, which tends to make them complicated and time consuming at times. Additionally, they require fairly high computational resources including a fast processor and substantial memory to arrive at a nal solution. During the recent years, researchers have explored various soft computing techniques to design and analyze di erent types of antennas. Many antenna |
| 650 | __ | |aElectrical Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aEngineering |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aEngineering Electrical and Electronic |
| 653 | __ | |aInference System |
| 653 | __ | |aNeuro-Fuzzy |
| 700 | __ | |eGuide|aPujara, Dhaval |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/544919|yShodhganga |
| 905 | __ | |afromsg |
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