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Genetic alogorithms dalam learning speech recognition berbasis neuro fuzzy untuk pengendalian kecepatan motor universal

In this final project, speech recognition system is used to control the speed of
universal motor. To control motor it used 5 words in Indonesian Language. There
are nol, satu, dua, tiga, and empat. Those words will be used to control motor in 4-speed
level and stop. The system uses Neuro Fuzzy as learning medium to
recognize every word that is gave into the system. Because Neuro Fuzzy has a few
parameter, such as numbers of hidden layer, numbers of node in every hidden
layer, value of momentum term, value of learning rate, and membership function
in this system will use Genetic Algorithms to obtain the optimal architecture of
Neuro Fuzzy. Genetic Algorithms is a search algorithm used as optimizing
method. With the optimal architecture of Neuro Fuzzy, this system can learn very
well and efficiently so that this system can recognize every speech that has been
learned. In this research, the training of Genetic Algorithms has not finished yet,
but the software of Genetic Algorithms can be used.

Creator(s)
  • (23496023) DANIEL
Contributor(s)
  • YOHANES T. D. S → Advisor 1
  • Hany Ferdinando → Advisor 2
  • HERLIANTO TENGGARA → Examination Committee 1
Publisher
Universitas Kristen Petra; 2000
Language
Indonesian
Category
s1 – Undergraduate Thesis
Sub Category
Skripsi/Undergraduate Thesis
Source
Skripsi No. 00/E/EL/069/506; Daniel (23496023)
Subject(s)
  • AUTOMATIC CONTROL-COMPUTER PROGRAMS
  • NEURAL NETWORKS (COMPUTER SCIENCE)
  • ROBOTICS
File(s)

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