Learning Vector Quantization(LVQ)originally proposed by Kohonen(1989)is aneurally-inspired classifier which pays attention to approximating the optimal Bayes de
Equivalent two-port measurement equations for reciprocal n-port network are de-rived.As an example,applications of these equations,measurement details and data-
The fluorine ion sensitive field-effect transistor(F<sup>-</sup>-ISFET)is made by depositingvery thin LaF<sub>3</sub> film on grid of field-effect transistor with
The two-dimensional numerical simulation of energy transport for MOSFETs ispresented,in which the effect of generation,recombination and temperature gradient of
Siegenthaler’s“Correlation Immunity”concept has been improved in this paper.From practical points of view,the new concept is more powerful than the original
The unity gain buffer will be good to design high frequency SCF if its resistiveeffects can be eliminated,and therefore the whole parasitic sensitivities will g