Combining nodes in multiple neural network on large datasets

Train a neural network with large dataset need a long training time. This paper presents a technique to reduce training time by divide a large dataset into n subsets and use those subsets to train multiple neural networks. In final, knowledge of trained networks are combined into a one network. The results from an experiment show that our technique has the same error like a network that trained by whole dataset but need less training time.