Analysis of sake mash using multichannel taste sensor

Pattern Recognition and Multicomponent Analysis

“…The plot of tetrachloroethene was scaled 1:5. Other examples are given in [13] and [14]. In some applications, it is important to show negative responses.…”

“…(5)(6)(7)(8)(9)(10)(11)(12)(13) Around the winner output element as the center, the weight vectors of the adjacent output units are thereafter turned into the direction of the input vector by a certain factor. The degree of turning is smaller for output elements which are far away from the winner according to k -*r] • (5)(6)(7)(8)(9)(10)(11)(12)(13)(14) The maximum factor of adaptation is given by the learning rate rj. The radial dependence of the adaptation is defined by the neighboring functions A(8e,ßtf.…”

“…Commonly used neighboring functions include the "bell" function A(8e,ßy) = exp (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15) or the "Mexican hat" function e,ßy) = 2exp…”

“…The correlation between both parameters and the number of cycles t may be chosen linearly according to = r? 0 11 --?-1 a(t) = V 'max ) (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) If the input vectors after finishing the training are given specific meanings (ie, by a certain classification), it is possible to proove the capability of a map to form clusters. For this procedure, a plot of the distribution of the different classes as a function of the position at the map has to be made.…”

“…/,,"(*) = tanh(/fc) or 2/(l + <T*)-l; f oat (x) = X , (5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19) • and linear regression:…”