Publication | Closed Access
Solving two-spiral problem through input data encoding
12
Citations
4
References
1995
Year
Mathematical ProgrammingArtificial IntelligenceTraining EfficiencyEngineeringMachine LearningRecurrent Neural NetworkData SciencePattern RecognitionComputational GeometryMachine Learning ModelComputer ScienceChain CodeDeep LearningNeural Architecture SearchAlgorithmic DevelopmentEvolving Neural NetworkComputational NeuroscienceTwo-spiral ProblemPropagation Neural Network
The authors show that the two-spiral problem can be easily solved using a standard back propagation neural network by properly encoding the raw input data. The authors also examine and compare several data encoding schemes for use in neural networks to improve the training efficiency and generalisation property.
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