我想問有關intelligent既題目

Intelligent Information Systems

Architecture of an intelligent information systems; decision making and systems; artificial intelligence techniques, concepts of data and information; methods to process data into information in organizations; transaction processing systems; database and knowledge base management.

Expert Systems for Managers

Introduction to expert systems; knowledge engineering; knowledge acquisition; knowledge representation and inference; uncertainty representation and reasoning; verification and validation; applications in business and finance.

Case Based Reasoning

Reasoning using cases, representing cases, indexing and retrieving cases, organizational and retrieval algorithms, case adaptation, case base maintenance, soft computing in case based reasoning, applications and case studies.

Data and Text Mining

Data mining and knowledge discovery life cycle, association, classification, clustering and prediction, soft computing in data mining, text mining, information extraction and retrieval.

Intelligent Decision Support Systems for Business Intelligence

Computational intelligence techniques; genetic algorithms for organizational modeling; neural networks and fuzzy logic for business applications; hybrid systems; integration of expert systems and neural networks; integrated intelligent systems.

Fuzzy Information Systems

Classical vs. fuzzy sets; membership functions; predicate vs. fuzzy logic; approximate reasoning; natural language; linguistic hedges; rule-based systems; likelihood and truth qualification; graphical techniques of inference.

Genetic algorithms for management applications

Natural evolution; a simple genetic algorithm; evaluation; population; parent selection; mutation; crossover; the inversion operator; performance enhancement; elitism; steady-state reproduction; robustness; interpolating operator fitness; applications in business, finance and management.

Neural Computation for business and finance

Biological vs. artificial neural networks; single- and multiple-layer perceptron; the learning rules; partition of pattern space; back-propagation; Kohonen Self-Organizing Networks; Hopfield Networks; supervised and unsupervised learning; associative memories.