Which of the following describes a difference between neural networks and genetic algorithms?
A) Genetic algorithms are designed to process large amounts of information.
B) Genetic algorithms are a type of knowledge discovery, while neural networks are an intelligent technique.
C) Neural networks are programmed to "learn."
D) all of the above

Question

Quizplus · Accepted Answer

Neural networks are designed to "learn" from input data and adjust the weights of connections between nodes in order to improve performance on a given task. In contrast, genetic algorithms are a type of optimization algorithm that searches through a large space of possible solutions to a problem in order to find the best one. While genetic algorithms can process large amounts of information, processing power is not their primary goal. Additionally, while both neural networks and genetic algorithms can be used for knowledge discovery, this is only one application of each technique.

Which of the Following Describes a Difference Between Neural Networks