LSC: A PC-based SMP Cluster

spraytownspeakerΤεχνίτη Νοημοσύνη και Ρομποτική

16 Οκτ 2013 (πριν από 3 χρόνια και 9 μήνες)

217 εμφανίσεις

演講題目(

文)

機器學習在工程上之應用

演講題目(英文)

Machine Learning in Engineering Applications



演講大綱:



Introduction



Artificial Neural Networks (ANN)



Fuzzy
-
, Possibilistic
-
, and Rough
-

Systems



Cerebellar Model Arithmetic Computer (CMAC)



Genetic Algorithm (GA)



Artificial Immun
e System (AIS)



Ant Colony System (ACS)



Support Vector Machine (SVM)



Conclusions


演講
內容
摘要:



Machine learning is a research strategy, in which
a

computer can modeling
or

implements

the humans


learning behaviors.



It also reconstructs the intelligent architectu
re in its intelligent base to
reinforce the performance for itself.



H.A. Simon indicated that learning is an adaptive activity for a system to
causes the system doing the same or similar task more effectively.



R.S. Michalski thought that learning is the re
presentation to configure or
revise the experimental tasks.



The experts who design expert systems presented that learning is extracting
intelligence.



Learning is a very important feature for the intelligent behavior.



The applications for the machine learning include:



Robots



Computer game



Signal processing


Compressing, Recognition, watermarking,




Network topology


The shortest path, Channel assignment,




Several optimization problems in engineering