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This paper introduces the research of cognitive engine and application of artificial intelligence techniques in cognitive radio. The limitation of CR engine based on GA is analyzed, propose for improvement is proposed. The decision maker of CR engine should consider both the changeable factors and the unchangeable factors such as cost, bandwidth, signal rate and ARQ. Based on Neural Network, the method of evaluating and learning best decision is proposed. Several key architectural issues for cognitive radio engine based on Neural Network are discussed, including knowledge base information model and learning model Neural Network design.