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A network, which can learn temporal patterns incrementally, is proposed. The network uses: a) Gaussian functions to represent various output values and b) chunking to group similar patterns so that a compact network can be realized. The learning capacity limits of the network are evaluated for the worst case sequences. Learning of sequences can be performed using a simple one step algorithm.