Icon

Workflow1

Deep-Learning Modelle

Datenaufbereitung

TRAININGS_DATEN

VALIDIERUNGS_DATEN

TEST_DATEN

Multi_Layer_Perceptron(MLP)
Long_Short-Term_Memory(LSTM)

Evaluation & Visualisierung

Input: Batch: 4
Keras Input Layer
Table Partitioner
Column Renamer
Units: 128ReLu
Keras Dense Layer
Units: 64ReLu
Keras Dense Layer
txt.-Datei einlesen
File Reader
OutputUnits: Linear
Keras Dense Layer
Lag Column
Column Renamer
Numeric Scorer
Line Plot
Lag Column
Units: 32TanhHard Sigmoid
Keras LSTM Layer
Ungroup
Line Plot
Ungroup
Joiner
Numeric Scorer
Line Plot
Table Partitioner
Lag Column
Keras Network Executor
MSE
Keras Network Learner
OutputUnits: Linear
Keras Dense Layer
MSE
Keras Network Learner
Units: 64TanhHard Sigmoid
Keras LSTM Layer
Column Renamer
Keras Network Executor
Steps: Dim.: 1Batch: 8
Keras Input Layer
Datenaufbereitung

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: felixliebig
Created at: 2025-12-09
On NodePit since: 2025-12-27
Last update: 2026-01-17
Created with KNIME version: v5.8.0

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!