@article{(Open Science Index):https://publications.waset.org/pdf/14634,
	  title     = {Microwave LNA Design Based On Adaptive Network Fuzzy Inference and Evolutionary Optimization},
	  author    = {Samad Nejatian and  Vahideh Rezaie and  Vahid Asadpour},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents a novel approach for the design of
microwave circuits using Adaptive Network Fuzzy Inference
Optimizer (ANFIO). The method takes advantage of direct synthesis
of subsections of the amplifier using very fast and accurate ANFIO
models based on exact simulations using ADS. A mapping from
course space to fine space known as space mapping is also used. The
proposed synthesis approach takes into account the noise and
scattering parameters due to parasitic elements to achieve optimal
results. The overall ANFIO system is capable of designing different
LNAs at different noise and scattering criteria. This approach offers
significantly reduced time in the design of microwave amplifiers
within the validity range of the ANFIO system. The method has been
proven to work efficiently for a 2.4GHz LNA example. The S21 of
10.1 dB and noise figure (NF) of 2.7 dB achieved for ANFIO while
S21 of 9.05 dB and NF of 2.6 dB achieved for ANN.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {4},
	  number    = {7},
	  year      = {2010},
	  pages     = {1092 - 1095},
	  ee        = {https://publications.waset.org/pdf/14634},
	  url   	= {https://publications.waset.org/vol/43},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 43, 2010},
	}