A model of the oxygenation of hemoglobin is developed based in a finite Hopfield neural network. The model is based in two transition probabilities, ##IMG## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn1.gif] {${w}_{+}$} and ##IMG## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn2.gif] {${w}_{-},$} between the states ##IMG## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn3.gif] {$\left(+1,-1\right)$} of each neuron. The oxygen partial pressure, ##IMG## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn4.gif] {${{\rm{PO}}}_{2},$} is introduced by an external field ##IMG## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn5.gif] {$h;$} and the cooperativity phenomenon appears as a field ##IMG## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn6.gif] {${h}_{r},$} this includes the ...

中文翻译：

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血红蛋白氧合的有限Hopfield神经网络模型

基于有限的Hopfield神经网络，开发了血红蛋白氧化的模型。该模型基于两个转换概率，## IMG ## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn1.gif] {$ {w} _ {+} $}和## IMG ## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn2.gif] {$ {w} _ {-}，$}每个神经元的## IMG ## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn3.gif] {$ \ left（+ 1，-1 \ right）$} 。氧分压## IMG ## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn4.gif] {$ {{\ rm {PO}}} _ { 2}，$}由外部字段## IMG ## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn5.gif] {$ h; $}和合作性现象显示为字段## IMG ## [http://ej.iop.org/images/1402-4896/95/7/075002/psab8950ieqn6.gif] {$ {h} _ {r}，