How can different processing methods be combined in AI?

How can different processing methods be combined in AI?

Combining processing methods in AI can enhance performance. For example, you can integrate neural networks with rule-based systems.

Can you give me a specific example of this combination?

Sure! A common example is using a neural network for feature extraction and then applying a decision tree for classification.

What are the benefits of combining these methods?

The benefits include improved accuracy, better handling of complex data, and increased robustness against noise.

Are there any challenges in combining these methods?

Yes, challenges include increased complexity, the need for more data, and potential difficulties in model integration.