コード例 #1
0
    def on_runButton_clicked(self):
        if self.ui.neighbourhoodEnabled.isChecked():
            neighbourhood = NeighbourhoodUtil.get_neighbourhood(
                str(self.ui.neighbourhoodFunctionSelector.currentText())
            )()
            topology = TopologyUtil.get_topology(
                str(self.ui.topologySelector.currentText()),
                neighbourhood,
                int(self.ui.initialNeighbourhoodRadius.text()),
                int(self.ui.topologyRowsValue.text()),
                int(self.ui.topologyColsValue.text()),
            )
        else:
            topology = NoTopology()
        self.metric = MetricUtil.get_metric(str(self.ui.metricSelector.currentText()))()
        learning_factor = LearningFactorUtil.get_factor(
            str(self.ui.kohonenLearningFactorSelector.currentText()),
            float(self.ui.kohonenLearningFactorInitialValue.text()),
            int(self.ui.kohonenLearningIterations.text()),
        )

        conscience_threshold = (
            float(self.ui.conscienceThresholdValue.text()) if self.ui.conscienceEnabled.isChecked() else 0
        )
        kohonen_learning_iterations = int(self.ui.kohonenLearningIterations.text())
        kohonen_learning = CounterPropagationKohonenLearning(
            self.network_layer, topology, self.metric, learning_factor, conscience_threshold
        )
        learning_data = self.input_view.get_data()

        grossberg_learning_rule = RulesUtil.get_rule(self.ui.learningRuleSelector.currentText())

        grossberg_learning_factor = LearningFactorUtil.get_factor(
            str(self.ui.grossbergLearningFactorSelector.currentText()),
            float(self.ui.grossbergLearningFactorInitialValue.text()),
            int(self.ui.grossbergLearningIterations.text()),
        )

        grossberg_learning_iterations = int(self.ui.grossbergLearningIterations.text())
        cp_learning = CounterPropagationLearning(
            self.network, grossberg_learning_rule, grossberg_learning_factor, kohonen_learning
        )
        cp_learning.learn(kohonen_learning_iterations, grossberg_learning_iterations, learning_data)
        self.accept()
コード例 #2
0
    def on_runButton_clicked(self):
        if self.ui.neighbourhoodEnabled.isChecked():
            neighbourhood = NeighbourhoodUtil.get_neighbourhood(
                str(self.ui.neighbourhoodFunctionSelector.currentText()))()
            topology = TopologyUtil.get_topology(str(self.ui.topologySelector.currentText()),
                neighbourhood, int(self.ui.initialNeighbourhoodRadius.text()),
                int(self.ui.topologyRowsValue.text()), int(self.ui.topologyColsValue.text()))
        else:
            topology = NoTopology()
        self.metric = MetricUtil.get_metric(str(self.ui.metricSelector.currentText()))()
        learning_factor = LearningFactorUtil.get_factor(str(self.ui.learningFactorSelector.currentText()),
            float(self.ui.learningFactorInitialValue.text()), int(self.ui.learningIterations.text()))

        conscience_threshold =\
        float(self.ui.conscienceThresholdValue.text()) if self.ui.conscienceEnabled.isChecked() else 0
        learning_iterations = int(self.ui.learningIterations.text())
        learning = KohonenLearning(self.network_layer, topology, self.metric, learning_factor,
            conscience_threshold)
        learning.learn(DataNormalizer.normalize(self.input_view.get_data()), learning_iterations)
        self.accept()