A Proposal of Associative Memory Algorithm

Associative learning and memory duration of Trichogramma brassicae

Learning ability and memory duration are two inseparable factors which can increase theefficiency of a living organism during its lifetime. Trichgramma brassice Bezdenko (Hym.:Trichogrammatidae) is a biological control agent widely used against different pest species.This research was conducted to study the olfactory associative learning ability and memoryduration of T. brassicae under laborato...

A Normal Form Projection Algorithm for Associative Memory

A Quantum Associative Memory Based on Grover’s Algorithm

Quantum computation uses microscopic quantum level effects to perform computational tasks and has produced results that in some cases are exponentially faster than their classical counterparts. The unique characteristics of quantum theory may also be used to create a quantum associative memory with a capacity exponential in the number of neurons. This paper combines two quantum computational al...

Genetic Algorithm Enlarges the Capacity of Associative Memory

We propose a genetic algorithm for mutually connected neural networks to obtain a higher capacity of associative memory. In Hop eld network as an associative memory system, the memory capacity is at most 15% of the number of neurons. Here we applied our method to the Hop eld network, and obtained the capacity of 33%. We conjectured that this is due to both asymmetry and sparseness of the connec...

Incremental Associative Memory Model Algorithm for Highly Scalable Recommender Systems

Recommender systems are smart and intelligent systems that often seem to know users more than users know themselves. Recommender system helps customers by recommending products they will probably like or purchase based on their purchasing, searching, browsing history and also the other similar customer’s history. Their aim is to provide efficient personalized solution in Ecommerce domain that w...