AboutSaurabh Kudesia Expertise I can answer your queries related to AI, Fuzzy logic, algorithms, VR and simulation theories.
Experience With an electronics background, I was rated as one of the Top 5 expert of Yahoo!Expert Group for three years in the category AI/Robotics. I have had the honour of evaluating books of international repute on AI/Robotics as Subject Matter Expert. I have in my credit more than 50 papers/articles published in different National and International Magazines/websites covering various aspects of AI, Robotics, VR and Mind theories. I am also contributing my skills and expertise to help movements like Singularity, Transhumanity and Cryonics.
Question Hi, I need your expertise to help me answer my question. Can you please show me a comparison (pros & cons, or advantages & disadvantages) between different computational intelligence methods (i.e. SVM, Genetic Algorithm, ANN, annealing etc.). There are so many of those methods today that I don't even know where to begin. I appreciate your help in this matter. Thank you.
Answer Hello Wong,
Computational intelligence (CI) is a branch of the study of artificial intelligence. Computational intelligence research aims to use learning, adaptive, or evolutionary computation to create programs that are, in some sense, intelligent. Computational intelligence research either explicitly rejects statistical methods (as is the case with fuzzy systems), or tacitly ignores statistics (as is the case with most neural network research). In contrast, machine learning research rejects non-statistical approaches to learning, adaptivity, and optimization.
Have a look at following tutorials for the comparison.
