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In this paper a new associative memory neural network is proposed. Neuron state is a vector. A pattern stored in the network with N neurons consists of N second level patterns with M components. Each pattern is stored in a "pattern loop" which is composed of N links. A link consists of "link state" and "inhibited path", the former is used to store second level pattern, and the later to eliminate spurious pattern. Its storage capacity can be up to (N-1)!; it can completely suppress spurious patterns and permit to input incomplete patterns for recalling; and can recall all or number of the stored patterns which have the minimum Hamming distance with input pattern.