neuron.py 文件源码

def update_dist(self, indexcomp, comp, norm, last_comp=False, classifier=None):
        """
        Calculate the distance from the supplied pattern to the stored pattern
        """
        # Called from CM1KEmulator.update_all_neuron_dists(), i.e., whenever COMP or LCOMP is updated
        log.trace("Neuron.update_dist()")

        if norm == cm1k.CM1KDistNorm.l1:
            self.dist += abs(comp - self.pattern[indexcomp])
        elif norm == cm1k.CM1KDistNorm.lsup:
            self.dist = max(abs(comp - self.pattern[indexcomp]), self.dist)
        elif norm == cm1k.CM1KDistNorm.euc:
            self.dist += (comp - self.pattern[indexcomp]) * (comp - self.pattern[indexcomp])

        if last_comp:
            if norm == cm1k.CM1KDistNorm.euc:
                self.dist = int(round(math.sqrt(self.dist)))
            if (classifier == cm1k.CM1KClassifier.rbf and self.dist < self.aif) or classifier == cm1k.CM1KClassifier.knn:
                # The neuron has fired
                self.chip.store_firing_neuron(self)