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Multi Layer Perceptron

After the data is normalized and partitioned, Multi-Layer-Perzeptron (MLP) is trained and applied.

Multi Layer Perceptron A simple example using a multi layer perceptron(MLP)learner and predictor to classify some image data. Formore information on the data set see https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite) normalize datascore resultssplit training setfrom test setuse neural networkto predict classesbuildneural networkNode 22Node 23Node 25Node 28Node 29Node 31 Normalizer Scorer Partitioning MultiLayerPerceptronPredictor RProp MLP Learner File Reader Column Filter Value Counter Number To String Domain Calculator Value Counter Multi Layer Perceptron A simple example using a multi layer perceptron(MLP)learner and predictor to classify some image data. Formore information on the data set see https://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite) normalize datascore resultssplit training setfrom test setuse neural networkto predict classesbuildneural networkNode 22Node 23Node 25Node 28Node 29Node 31Normalizer Scorer Partitioning MultiLayerPerceptronPredictor RProp MLP Learner File Reader Column Filter Value Counter Number To String Domain Calculator Value Counter

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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On NodePit since: 2020-06-29
Last update: 2024-04-26
Created with KNIME version: v4.1.3

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