Artificial neural networks (ANNS) are computational models that are inspired by the structure and function of biological neural networks. ANNS consist of interconnected nodes that process and transmit information. There are various types of ANNs, including feedforward neural networks, recurrent neural networks, convolutional neural networks, and deep neural networks. Each type of ANN has a unique architecture and learning algorithm that enables it to perform specific tasks.
Artificial neural networks (ANNS) are computational models that are inspired by the structure and function of biological neural networks. ANNS consist of interconnected nodes that process and transmit information. There are various types of ANNs, including feedforward neural networks, recurrent neural networks, convolutional neural networks, and deep neural networks. Each type of ANN has a unique architecture and learning algorithm that enables it to perform specific tasks.
Principles of Information Systems (MindTap Course List)
13th Edition
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Ralph Stair, George Reynolds
Chapter10: Knowledge Management And Specialized Information Systems
Section: Chapter Questions
Problem 9SAT
Related questions
Question
![Artificial neural networks (ANNS) are computational models that are inspired by the structure
and function of biological neural networks. ANNs consist of interconnected nodes that process
and transmit information. There are various types of ANNs, including feedforward neural
networks, recurrent neural networks, convolutional neural networks, and deep neural networks.
Each type of ANN has a unique architecture and learning algorithm that enables it to perform
specific tasks.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F960aa621-7eee-4f6a-b50a-ba5c557ff7db%2Faa68b594-3a7a-49b8-995c-1d488577b43d%2Fuytsor5_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Artificial neural networks (ANNS) are computational models that are inspired by the structure
and function of biological neural networks. ANNs consist of interconnected nodes that process
and transmit information. There are various types of ANNs, including feedforward neural
networks, recurrent neural networks, convolutional neural networks, and deep neural networks.
Each type of ANN has a unique architecture and learning algorithm that enables it to perform
specific tasks.
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 3 steps
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Recommended textbooks for you
![Principles of Information Systems (MindTap Course…](https://www.bartleby.com/isbn_cover_images/9781305971776/9781305971776_smallCoverImage.gif)
Principles of Information Systems (MindTap Course…
Computer Science
ISBN:
9781305971776
Author:
Ralph Stair, George Reynolds
Publisher:
Cengage Learning
![Principles of Information Systems (MindTap Course…](https://www.bartleby.com/isbn_cover_images/9781305971776/9781305971776_smallCoverImage.gif)
Principles of Information Systems (MindTap Course…
Computer Science
ISBN:
9781305971776
Author:
Ralph Stair, George Reynolds
Publisher:
Cengage Learning