Layered_CasPer: Layered cascade artificial neural networks

作者: Tengfei Shen , Dingyun Zhu

DOI: 10.1109/IJCNN.2012.6252799

关键词: Artificial neural networkArtificial intelligenceComputational complexity theoryConstructiveFeedforward neural networkExtension (predicate logic)Topology (electrical circuits)Network architectureComputer scienceAlgorithmSimple (abstract algebra)

摘要: Previous research has demonstrated that constructive algorithms are powerful methods for training feedforward neural networks. The CasPer algorithm is a network generates networks from simple architecture and then expands it. A_CasPer modified version of the which uses candidate pool instead single neuron being trained. This adds an extension to in terms - Layered_CasPer algorithm. hidden neurons form as layers new structure results less computational cost required. Beyond structure, other aspects same A_CasPer. benchmarked on number classification problems compared algorithms, CasCor, CasPer, A_CasPer, AT_CasPer. It shown better performance datasets have large inputs tasks. advantage over cascade style more similar topology familiar layered traditional

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