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)Genetic algorithms are designed to work with small amounts of data,while neural networks can handle large quantities of data.
E)Neural networks are a type of machine learning,whereas genetic algorithms are static programs.

Question

Quizplus · Accepted Answer

The key difference between neural networks and genetic algorithms is that neural networks are programmed to "learn" from data and adjust their weights and biases to improve their accuracy, while genetic algorithms rely on a process of natural selection to evolve a solution to a problem. Genetic algorithms can handle large amounts of data, but they are not specifically designed for this purpose. Choice A is incorrect because genetic algorithms can be used to process large amounts of information, but this is not their primary function. Choice B is incorrect because both genetic algorithms and neural networks can be used for knowledge discovery and intelligent techniques. Choice D is incorrect because neural networks are well-suited for handling large quantities of data. Choice E is incorrect because both genetic algorithms and neural networks are types of machine learning.

Which of the Following Describes a Difference Between Neural Networks