Multi-Paradigm Learning Algorithms for Image Recognition

by Hojjat Adeli, The Ohio State Univ, Columbus, United States,

Document Type: Proceeding Paper

Part of: Digital Image Processing: Techniques and Applications in Civil Engineering


Several recently-developed machine learning algorithms for the image recognition problem are reviewed. They are based on adroit integration of various recent and emerging technologies including neural network computing, genetic algorithms, parallel processing, and fuzzy sets.

Subject Headings: Algorithms | Signal processing | Neural networks | Fuzzy logic | Computer vision and image processing | Automatic identification systems | Artificial intelligence (AI)

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