Based on the nonlinear quantum neural computational model search View Homepage


Ontology type: schema:MonetaryGrant     


Grant Info

YEARS

2011-2011

FUNDING AMOUNT

110000 CNY

ABSTRACT

Due to limited memory capacity,slowly data processing and Catastrophic forgetting of traditional neural computing,we adopt new method of combining quantum computing and neural computation,give full play to tremendous computing superiority of quantum linear superposition,apply elements of the storage matrix that distributed in a probability way to determine the weight matrix and build model of quantum neural computation that can deal with multi-pattern.The storage capacity of this model is increased by a factor of 2N, where N is the number of neurons,comparing to the conventional neural network.In the last,we test and verify the medel and algorithm using people face images.This project will provide important theory supporting to the many fields such as pattern recognition and super high-capacity image processing and produce potential practical value. More... »

URL

http://npd.nsfc.gov.cn/projectDetail.action?pid=61065002

Related SciGraph Publications

  • 2015-02. Novel Design for Reversible Arithmetic Logic Unit in INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
  • 2013-11. Quantum Pattern Search with Closed Match in INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
  • 2013-06. Quantum Image Encryption and Decryption Algorithms Based on Quantum Image Geometric Transformations in INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
  • 2013-02. Optimization Approaches for Designing a Novel 4-Bit Reversible Comparator in INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS
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