Image Recognition Technology Based on Artificial Intelligence

Hai Yun Lin; Yu Jiao Wang; Jian Chun Cai

doi:10.4028/www.scientific.net/AMM.347-350.3537

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The Improvements of Traffic Data NN Rules Based on Hypothesis Interval
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An Improved Signal Detection Technique for OFDM System
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Image Retrieval Based on Semi-Supervised Orthogonal Discriminant Embedding
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Image Recognition Technology Based on Artificial Intelligence
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Deformation Analysis of Short and Medium Span Curved Beam Bridge
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The Research of Oil & Gas Energy Saving Index Prediction Based on Neural Network and Quantum-Behaved Particle Swarm Optimization
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Image Recognition Technology Based on Artificial...

Image Recognition Technology Based on Artificial Intelligence

Abstract:

In respect of the classification of current image retrieval technology and the existing issues, the paper put forward a method designed for image semantic feature extraction based on artificial intelligence. The new method has solved the tough problem of image semantic feature extraction, by fusing fuzzy logic, genetic algorithm and artificial neural network altogether, which greatly improved the efficiency and accuracy of image retrieval.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3537-3540

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3537

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Online since:

August 2013

Authors:

Hai Yun Lin, Yu Jiao Wang, Jian Chun Cai

Keywords:

Artificial Intelligence (AI), Artificial Neural Network (ANN), Fuzzy Logic Introduction, Genetic Algorithm (GA), Image Recognition

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