CLANN: Concept Lattice-based Artificial Neural Network for Supervised Classification.

摘要: Multi-layer neural networks have been successfully applied in a wide range of supervised and unsupervised learning applications. As they often produce incomprehensible models are not widely used data mining To avoid such limitations, comprehensive previously introduced making use an apriori knowledge to build the network architecture. They permit methods deserve place tool boxes specialists. However, as is always available for every new dataset, we hereby propose novel approach that generates concept semi-lattice from initial directly Carried out experiments showed soundness efficiency our on various UCI.