Asked in Computer Networking, Computer Science
Advantage and disadvantage of neural network?
Advantages and disadvantages of Artificial Neural Network Advantages: · 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...
Asked in Artificial Intelligence
How artificial intelligence differ from neural network?
A neural network is basically something like an attempt to stimulate the brain. Artificial Intelligence uses machines and software to stimulate the brain. ...
Difference Artificial intelligence Artificial neural network?
Artificial neural networks are just one of several tools to do artificial intelligence. Other methods include fuzzy logic, rulesets and bayesian networks. ...
Asked in Engineering, The Difference Between
What are the differences between artificial intelligence and neural networks?
Neural networks were discovered in the search for artificial intelligence. They are circuits that can learn, sort of. ...
Is nanotechnology and artificial intelligence are the application of neural networks?
If you are asking about the application of Neural network in Artificial Intelligence and Nanotechnology then let me tell you that it is possible. Infact, a group of researchers from Columbian University are in pursuit of an artificial brain that functions similar to that of a human brain. Neural network is a phenomenon that is present in a human brain and the same is being replicated in case of Artificial Intelligence. Micro processors are used to pass on electrical signals to initiate...
Asked in Science
What is an artificial neural network and how does it work?
Artificial neural networks are computational models inspired by an animal's central nervous systems (in particular the brain) which is capable of machine learning as well as pattern recognition. They work by neurons continuously evaluating their output by looking at their inputs, calculating the weighted sum and comparing to a threshold to decide if they should fire. ...
Asked in Computers
What are the basic assumptions of Artificial Neural Networks?
wat's the answer for this question?...
What are the applications of artificial intelligence?
there are following applications of Artificial intelligence. 1) Game playing. 2)expert system. 3)automated reasoning and theorem proving. 4)natural language and understanding. 5)planning and robotics. 6)neural network. ...
Asked in Artificial Intelligence
What are the advantage and disadvantage of artificial intellgence?
Advantage - It's artificial and you can play with it, shape it, and have it do just about anything you can imagine. Disadvantage - It's artificial, and it can play with you, shape you, and have you do just about anything someone who programmed it can imagine. ...
Asked in Math and Arithmetic
What is meant by Adaptation in artificial neural networks?
Adaptation is the feature that a neural network system should provide in order to let the system be aware of changes in its environment. For instance; an auto-pilot expert system (ES) changes its maneuvering degrees with respect to the wind. So, an artificial intelligence system needs to use some agents to collect more data about its location. ...
Asked in Psychology
Which structure is responsible for transducing light into neural impulses?
question: what 'structure' transduces light into neural impulses? answer: a life form's 'virtual' optical neural network ...
What is the relationship between a neutral network and a local area network?
The only relationship I can come up with is that they are both networks - a series of nodes connected with links. A neural network, like the one in your brain, has brain cells as the nodes, and synapses as the links. An artificial neural network, which is a tiny crude simulation of how your brain works that runs on a computer, emulates that structure in software. A local area network has computers and routers as the nodes, and various kinds of...
Asked in Computer Networking
Difference between artificial neural network and conventional computer?
Parallel processing One of the major advantages of the neural network is its ability to do many things at once. With traditional computers, processing is sequential--one task, then the next, then the next, and so on. The idea of threading makes it appear to the human user that many things are happening at one time. For instance, the Netscape throbber is shooting meteors at the same time that the page is loading. However, this is only an appearance; processes are not actually happening...