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This paper proposes Neural Network architecture for implementing associative memory. A new model has been developed that has good learning structure and high storage capacity. Hybrid Network Learning comprises interactive counter propagation network and associative memory. Interactive counter propagation network is used for pattern completion. The associative memory is applied for pattern association. Associative memory is content-addressable structure that maps a set of input patterns to a setdoi:10.5120/2616-3347 fatcat:wo2fjxnyzzekvkwgtieqx5xxwm