About this document
Genetic Algorithms and Neural Networks Explained by Kirthi Vasan is a document available to read on EtoBox.
The document discusses genetic algorithms and backpropagation neural networks. It provides explanations of crossover and mutation in genetic algorithms. Crossover combines genes from parent chromosomes to create offspring, while mutation randomly alters genes. It also lists guidelines for when backpropagation neural networks may be suitable, such as when a large amount of input/output training data is available but the relationships are unclear. Backpropagation is best for problems with evolving solutions,
- Author
- Kirthi Vasan
- Language
- EN