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Crime_​Boston_​garden_​Learning_​a_​Neural_​Network

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 layerperceptron(MLP) learner and predictor toclassify some image data. For moreinformation 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 23 Normalizer Scorer Partitioning MultiLayerPerceptronPredictor RProp MLP Learner File Reader Column Filter Multi Layer Perceptron A simple example using a multi layerperceptron(MLP) learner and predictor toclassify some image data. For moreinformation 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 23 Normalizer Scorer Partitioning MultiLayerPerceptronPredictor RProp MLP Learner File Reader Column Filter

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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: 2022-02-06
Last update: 2026-01-10
Created with KNIME version: v4.1.3

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