Selected Topics in Computational Intelligence II

Learning Outcomes:

On successful completion of this Course, students will be able to:

Describe and use various dimensionality reduction techniques for object classifications; Understand how various soft computing techniques such as neural net (NN), fuzzy logic (FL), and genetic algorithms (GA) are applied for object detection, clustering and classifications

Topics:

• Introduction to Computational Intelligence and Digital Mammography
• Dimensionality Reduction Techniques (PCA, ICA, LSI, NMF)
• Use of Dimensionality Reduction Techniques for Mammogram Classification
• Fuzzy Logic in Clustering and Classification
• Automatic Detection of Breast Cancer Mass in Mammograms Using Fuzzy Clustering
• Neural Network and Fuzzy Neural for Mammography Diagnosis
• Heuristic Optimization Using Genetic Algorithms