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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.
A step in the training process of an artificial neural network
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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.
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.
Neural networks have nothing to do with neutrons.
By forming an neural network
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The retina is responsible for transducing light into neural impulses. It is a layer of tissue located at the back of the eye that contains photoreceptor cells (rods and cones) that convert light into electrical signals that can be processed by the brain.
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.
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 decision making process, similar to that of a human brain. Some philosophy even suggest the use of same in robotics to improve artificial intelligence and initiate robot decision making.