Want this question answered?
I'm not sure how to construct an artificial neutral network.
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.
Neural networks have nothing to do with neutrons.
Neural networks / artificial intelligence. Terminator technology in agriculture is the use of genetic engineering to create varieties that produce seeds that are sterile and will not produce a crop the following year.
neural networks
A step in the training process of an artificial neural network
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.
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.
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.
Mohamad H. Hassoun has written: 'Associative Neural Memories' 'Fundamentals of artificial neural networks' -- subject(s): Neural networks (Computer science), Artificial intelligence
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.
I'm not sure how to construct an artificial neutral network.
Christian Balkenius has written: 'Natural intelligence in artificial creatures' -- subject(s): Brain, Neural networks (Computer science), Physiology, Artificial intelligence
G. Dorffner has written: 'Neural networks and a new artificial intelligence'
its derivative is easy to compute
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.
Artificial Intelligence is a great source of prediction system. Take the case of AI being used in Stock Market where it deals with a wide domains of corpus and using neural network predictions are made. Using AI in large business is inevitable today since a great deal of capital is at stake and having a prediction system is well worth.