Asked in Video Games
Is 20Q a Neural Network?
August 25, 2009 8:26PM
20Q is a true neural network. The answers to questions stimulate target nodes (objects), which in turn stimulate the next question to ask. The "brain" is about as complex as an insect's brain.
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 be emulated. · Requires high processing time for large neural networks.
Asked in Psychology
Which structure is responsible for transducing light into neural impulses?
Asked in Artificial Intelligence
How artificial intelligence differ from neural network?
Asked in Computer Networking
What are the advantages of sigmoidal function in neural network?
Asked in Computer Networking, Engineering, Robotics
What is learning rate in neural network?
The learning rate is a constant in the algorithm of a neural network that affects the speed of learning. It will apply a smaller or larger proportion of the current adjustment to the previous weight. The higher the rate is set, the faster the network will learn, but if there is large variability in the input the network will not learn very well if at all.
Asked in Biology
What are two types of neural network in the visual system?
Asked in Engineering
What is a disadvantage of an Artificial Neural Network?
Asked in Computer Networking, Electronics
What is knowledge representation in neural network?
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 are the disadvantages of 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.