Neural network based retrieval issue on prototype database systems


A prototype database system using neural network associative memory is proposed. A new measurement of Hamming distance is discussed in order to examine the closeness between the probe vector and the store vector. A reduced interconnection neural network technique is used to construct a tree index database system. A multiple query is used in the model to retrieve a multiple output.< >



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL