answersLogoWhite

0

How is neural network alike from a computer network?

Updated: 8/21/2019
User Avatar

Wiki User

8y ago

Want this question answered?

Be notified when an answer is posted

Add your answer:

Earn +20 pts
Q: How is neural network alike from a computer network?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

What is epochs in neural network?

A step in the training process of an artificial neural network


What is momentum neural networks?

momentum neural network


Where can one find information on artificial neural network?

An artificial neural network is a mathematical model inspired by biological neural networks. One can find more information about this subject online at Learn Artificial Neural Networks, Computer World, and Wikipedia.


Advantage and disadvantage of neural network?

Advantages and disadvantages of Artificial Neural NetworkAdvantages:· A neural network can perform tasks that a linear program cannot.· When an element of the neural network fails, it can continue without any problem by their parallel nature.· A neural network learns and does not need to be reprogrammed.· It can be implemented in any application and without any problem.Disadvantages:· The neural network needs training to operate.· The architecture of a neural network is different from the architecture of microprocessors therefore needs to be emulated.· Requires high processing time for large neural networks.


What has the author Micheal Patrick Walsh written?

Micheal Patrick Walsh has written: 'A novel neural network for power system scheduling' -- subject(s): Computer algorithms, Neural networks (Computer science), Electric power systems


Disadvantage of artificial neural network?

the neural networks need training to operate. the architecture of a neural network is different from the architecture of microprocessor therefore needs to be emulated.


What is basic neutron of neural network?

Neural networks have nothing to do with neutrons.


What has the author James A Villarreal written?

James A. Villarreal has written: 'A space-time neural network for processing both spacial and temporal data' -- subject(s): Neural networks (Computer science)


What has the author P A Ramamoorthy written?

P. A. Ramamoorthy has written: 'A neural network architecture for implementation of expert sytems for real time monitoring' -- subject(s): Neural networks (Computer science)


What has the author T Troudet written?

T. Troudet has written: 'A novel approach to noise-filtering based on a gain-scheduling neural network architecture' -- subject(s): Neural networks (Computer science)


What has the author Richard M Golden written?

Richard M. Golden has written: 'Mathematical methods for neural network analysis and design' -- subject(s): Mathematical models, Neural networks (Computer science)


What is a neural connection?

Training data is used by neural networks to learn and increase their accuracy over time. In computer science and artificial intelligence, these learning techniques can be used to quickly identify and cluster data. When compared to manual identification by human experts, tasks in speech recognition or image recognition can take minutes rather than hours. Google's search algorithm is one of the most well-known neural networks. Learn in detail about neural and network and how they are connected to machine learning from Learnbay institute.