Improving Neural Networks Classification through Chaining
We present a new ensemble technique, namely chaining neural networks, as our efforts to improve neural classification. We show that using predictions of a neural network as input to another neural network trained on the same dataset will improve classification. We propose two variations of this approach, single-link and multi-link chaining. Both variations include predictions of trained neural networks in the construction and training of a new network and then store them for later predictions. In this initial work, the effectiveness of our proposed approach is demonstrated through a series of experiments on real and synthetic datasets.
KeywordsNeural networks classification ensemble chaining
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