What are the features of artificial neural network?
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| Papers (9) | Insight |
|---|---|
152 Citations | A neural network can qualitatively predict what it has learned. |
149 Citations | Artificial neural networks (ANNs) are systems that can learn. |
| Artificial neural network is a versatile modelling tool capable of making predictions of values that are difficult to obtain in numerical analysis. | |
32 Citations | By using these tools, users can also understand and learn working mechanism of a typical artificial neural network, using features of different models and related learning algorithms. |
| Our approach has the potential to enable artificial neural networks to scale up beyond what is currently possible. Artificial neural networks are artificial intelligence computing methods which are inspired by biological neural networks. | |
19 Sep 2004 13 Citations | The artificial neural network techniques are rather easy to develop and to perform. |
20 Citations | Among these, the artificial neural network (NN) system appears to be a powerful tool to tackle situations in w... |
14 Citations | In comparison, artificial neural networks reproduce features of these systems, satisfactorily well. |
25 Citations | These findings can help to optimize features of artificial neural networks. |
Related Questions
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What is AI neural network and what is it used for?1 answersAI neural network is a subset of artificial intelligence that involves the use of biologically inspired models for information processing. It is not an exact replica of how the brain functions, but it has shown promising results in forecasting and business classification applications. Neural networks learn by updating their architecture and connection weights, allowing them to efficiently perform tasks. They can learn from available training patterns or automatically learn from examples or input-output relations. Neural networks have been used in various fields such as healthcare, where they have been employed for greater accuracy and instant results. They have also been used in game AI, specifically in the fighting game genre, to select actions based on the game state, providing a challenging and satisfying experience for players. Additionally, neural networks have been utilized in the design and evaluation of AI systems, generating and analyzing neural networks based on user interactions and articulating their behavior in natural language.
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