GA is Genetic Algorithms

9.4. Consider applying GAs to the task of finding an appropriate set of weights for an artificial neural network (in particular, a feedforward network identical to those trained by BAcKPRoPAGATION (Chapter 4)). Consider a 3 x 2x 1 layered, feedfor- ward network. Describe an encoding of network weights as a bit string, and describe an appropriate set of crossover operators. Hint: Do not allow all possible crossover operations on bit strings. State one advantage and one disadvantage of using GAs in contrast to BacKPROPAGATION to train network weights. 9.4. Consider applying GAs to the task of finding an appropriate set of weights for an artificial neural network (in particular, a feedforward network identical to those trained by BAcKPRoPAGATION (Chapter 4)). Consider a 3 x 2x 1 layered, feedfor- ward network. Describe an encoding of network weights as a bit string, and describe an appropriate set of crossover operators. Hint: Do not allow all possible crossover operations on bit strings. State one advantage and one disadvantage of using GAs in contrast to BacKPROPAGATION to train network weights