Create README.md

Author: HAKALAYC

README.md

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+# The-Optimum-Training-Data-Structure-For-Modelling-Of-Microwave-Transistors-Using-Artificial-Neural
+
+In this work, the optimum amount of training data for modelling of microwave transistors using Multilayer Perceptron (MLP) is studied. 
+For this purpose, BPF 640 having wide operation frequency range within the large bias voltage and 
+current range is chosen and optimum training data amount is determined for its accurate and rapid modelling. 
+According to its Manufacturer’s Data Sheets, BPF 640 has the operation frequency from 10 MHz up to 10 GHz 
+within the region of 1V<VDS<4V and 1mA<IDS<20mA. Interpolation is chosen for the MLP for the generalization process 
+since MLP is generalizing successfully in interpolation mode.
+In congress, all the details of models and comparisons will be presented.