Event Title

Implementing a Genetic Neural Network

Location

CSU Ballroom

Start Date

16-4-2013 10:00 AM

End Date

16-4-2013 12:00 PM

Student's Major

Integrated Engineering

Student's College

Science, Engineering and Technology

Mentor's Name

Dean Kelley

Mentor's Department

Integrated Engineering

Mentor's College

Science, Engineering and Technology

Description

This paper presents my work on an implementation of an Artificial Neural Network trained with a Genetic Algorithm. The project involved initially randomly generated weights to a neural network which were optimized via the combination of three methods, selection, crossover and mutation, in the goal of imitating genetic evolution. Experiments were done comparing random selection and fitness level probability selection in their efficiency for pairing networks through the generations. Four methods of crossover were designed and tested against each other in transferring weights efficiently. Multiple methods of mutation were created using random number generation, and these methods were tested against each other. The results of the design and trials are a close look at the effects of each method in genetic algorithms.

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Apr 16th, 10:00 AM Apr 16th, 12:00 PM

Implementing a Genetic Neural Network

CSU Ballroom

This paper presents my work on an implementation of an Artificial Neural Network trained with a Genetic Algorithm. The project involved initially randomly generated weights to a neural network which were optimized via the combination of three methods, selection, crossover and mutation, in the goal of imitating genetic evolution. Experiments were done comparing random selection and fitness level probability selection in their efficiency for pairing networks through the generations. Four methods of crossover were designed and tested against each other in transferring weights efficiently. Multiple methods of mutation were created using random number generation, and these methods were tested against each other. The results of the design and trials are a close look at the effects of each method in genetic algorithms.

Recommended Citation

Kolhoff, Joseph. "Implementing a Genetic Neural Network." Undergraduate Research Symposium, Mankato, MN, April 16, 2013.
http://cornerstone.lib.mnsu.edu/urs/2013/poster-session-A/45