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How is a neural network like and different from a computer network?
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What computer works like a network server computer On the Internet?
on the internet which computer works like a network server computer
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 data transmission lines (such as Ethernet cables) as links. Yet another kind of network is a fishing net - it has knots as nodes, and strings as links. Perhaps a better answer would be: The relationship between a neural network and local area network is the same thing as the relationship between a local area network and a fishing net. HTH, Gdunge
What is the relationship between a neural network and a local area network?
It depends on the context and application. A neural network is a network fashioned after the brain. Where pathways are opened to trigger responses from multiple "data centers" in the brain, based on stimulus. A LAN is nothing like it, other than the similarity that it has a transmission medium. Yet a LAN is useless without a brain.
What identifies a single computer from other computers in the internet?
an Internet Protocol address, or I.P. they generally look like xx.xxx.xxx.xxx this is different from a home network i.p, which will look like 192.168.2.x
Why is it typical to view a computer network as a cloud?
just like a cloud network is composed of layers.
Difference between artificial neural network and conventional computer?
Parallel processingOne 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 simultaneously.The artificial neural network is an inherently multiprocessor-friendly architecture. Without much modification, it goes beyond one or even two processors of the von Neumann architecture. The artificial neural network is designed from the onset to be parallel. Humans can listen to music at the same time they do their homework--at least, that's what we try to convince our parents in high school. With a massively parallel architecture, the neural network can accomplish a lot in less time. The tradeoff is that processors have to be specifically designed for the neural network.The ways in which they functionAnother fundamental difference between traditional computers and artificial neural networks is the way in which they function. While computers function logically with a set of rules and calculations, artificial neural networks can function via images, pictures, and concepts.Based upon the way they function, traditional computers have to learn by rules, while artificial neural networks learn by example, by doing something and then learning from it. Because of these fundamental differences, the applications to which we can tailor them are extremely different. We will explore some of the applications later in the presentation.Self-programmingThe "connections" or concepts learned by each type of architecture is different as well. The von Neumann computers are programmable by higher level languages like C or Java and then translating that down to the machine's assembly language. Because of their style of learning, artificial neural networks can, in essence, "program themselves." While the conventional computers must learn only by doing different sequences or steps in an algorithm, neural networks are continuously adaptable by truly altering their own programming. It could be said that conventional computers are limited by their parts, while neural networks can work to become more than the sum of their parts.SpeedThe speed of each computer is dependant upon different aspects of the processor. Von Neumann machines requires either big processors or the tedious, error-prone idea of parallel processors, while neural networks requires the use of multiple chips customly built for the application.
What is the meaning of use of computer network?
The meaning of Computer network is focusing on sharing data and peripheral devices like printer, scanner, and other devices.
How do I Connect to another computer on your network?
If you have Vista, you click on the network icon on thestart bar and click add network or something like that.
What is a disadvantage of an Artificial Neural Network?
1. They are black box - that is the knowledge of its internal working is never known 2. To fully implement a standard neural network architecture would require lots of computational resources - for example you might need like 100,000 Processors connected in parallel to fully implement a neural network that would "somewhat" mimic the neural network of a cat's brain - or I may say its a greater computational burden 3. Remember the No Free Lunch Theorem - a method good for solving 1 problem might not be as good for solving some other problem - Neural Networks though they behave and mimic the human brain they are still limited to specific problems when applied 4. Since applying neural network for human-related problems requires Time to be taken into consideration but its been noted that doing so is hard in neural networks 5. The Vapnik-Chervonenkis dimension or VC Dimension of a neural network which is a combinatorial parameter that measures the expressive power of a neural network is still not well understood 6. They are just approximations of a desired solution and errors in them is inevitable 7. Lastly I will add that they require a large amount training set to be trained properly and to give output(s) that would be close enough to the desired output but knowing what amount of training set is enough for a desired output would be totally dependent on the trainer itself - but yes its important that a very large training set is provided so that the neural network would have sufficient understanding of the underlying structure.
What does the Computer Network Equipment website look like?
The Computer Network Equipment website looks like a parked domain. It is not a functioning website and has stock photos at the top and a list of sponsored links below.
What is the purpose of an Ethernet Cable?
An ethernet adapter is the component that allows you to connect to your internet modem or computer network. Upon connecting your ethernet cable, you will be able to access the internet or computer network to which you are connected.
How is a computer network like your brain?
A computer network stores information on what computers can connect and what information is shared and to what system. Your brain stores who you interact with, who your friends are, and who you share secrets with.
