Evidence of hyperplanes in the genetic learning of neural networks.

Abstract excerpt

Genetic Algorithms have been successfully applied to the learning process of neural networks simulating artificial life. In previous research we compared mutation and crossover as genetic operators on neural networks directly encoded as real vectors (Manczer and Parisi 1990). With reference to crossover we were actually testing the building blocks hypothesis, as the effectiveness of recombination relies on the...

Topics

• Algorithms
• Animals
• Crossing Over, Genetic
• Cybernetics
• Genotype
• Learning
• Mathematics
• Models, Genetic
• Mutation
• Neural Networks, Computer
• Phenotype