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Pattern Recognition, Medical Imaging, Machine Intelligence, Computer Vision Hamid R. Tizhoosh
Faculty of Engineering
University of Waterloo

Pattern Recognition, Computer Vision,
Medical Imaging, Machine Intelligence		 Hamid R. Tizhoosh
Teaching
Computer Vision
Machine Intelligence
Data Structures
SD750 - OBL
Research
Pattern Recoginition
Computer Vision
Machine Intelligence
Terahertz Imaging
Health Engineering
Opposition-Based Learning
Students
Current Students
Former Students
Projects
LORNET
Prostate Cancer
Breast Cancer
Radiation Therapy
Other Projects
Publications
Books & Chapters
Journals
Conferences
Reports etc.
University of Waterloo :: Faculty of Engineering :: Systems Design

Research …
Neural Nets

The artificial neural networks have been established as a major paradigm in machine intelligence research. Their ability to learn from samples or instructions, supervised or unsupervised, and from binary or discrete inputs has made them an unbearable tool in dealing with complex problems.

Neural Networks

Fields & Methodologies

  • Feed-forward Multi-layered Nets

  • Self-Organizing Maps

  • Associative Memories

  • Fuzzy Neural Nets

  • Opposition-based ANNs

Applications

  • Data Classification

  • Image Analysis

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Connectionism

An artificial neural network, more commonly known as a neural network or neural net for short, is a mathematical model for information processing based on a connectionist approach to computation. The original inspiration for the technique was from examination of bioelectrical networks in the brain formed by neurons and their synapses. In a neural network model, simple nodes (or "neurons", or "units") are connected together to form a network of nodes - hence the term "neural network". [Source: WIKIPEDIA]


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