0
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.
Wiki User
∙ 9y ago
Add your answer:
Earn +20 pts
What are neural cells?
A nerve cell is the structural and functional unit of a nerve
What is an examples of artificial radioactivity except U?
Uranium is not artificial radioactivity so it is not clear what the question is about.
What are artificial smells?
Artificial smells are made just like any fake smell, with chemicals or some kind of extract. I hope this was useful!
How does artificial intelligent work?
Artificial Intelligence is set up through a series of algorithms. By definition, if it can make decisions for its self and it isn't biological, it's artificial intelligence. Therefore, the current artificial intelligence, also known as UAI (Unrefined Artificial Intelligence) works throught If and Then statements in programing. If this thing happens then do this. This allows to let the program think for its self on a basic level. However, if I wanted to make RAI (Refined Artificial Intelligence), this would be a lot harder. So hard, that it has been researched for multiple years and there is no answer to it yet. You could either create a program with over an octillion if and then statements, or you could create a program that resembles the human mind.
What is meant by network administrator?
Network administrator is a modern profession responsible for the maintenance of computer hardware and software that comprises a computer network. This normally includes the deployment, configuration, maintenance and monitoring of active network equipment. A related role is that of the network specialist, or network analyst, who concentrate on network design and security. The Network Administrator is usually the highest level of technical/network staff in an organization and will rarely be involved with direct user support. The Network Administrator will concentrate on the overall health of the network, server deployment, security, ensuring network connectivity throughout a company's LAN/WAN infrastructure, and all other technical considerations at the network level of an organization's technical hierarchy. Network Administrators are considered Tier 3 support personnel that only work on break/fix issues that could not be resolved at the Tier1 (helpdesk) or Tier 2 (desktop/network technician) levels. Depending on the company, the Network Administrator may also design and deploy networks. However, these tasks may be assigned to a Network Engineer should one be available to the company. The actual role of the Network Administrator will vary from company to company, but will commonly include activities and tasks such as network address assignment, assignment of routing protocols and routing table configuration as well as configuration of authentication and authorization - directory services. It often includes maintenance of network facilities in individual machines, such as drivers and settings of personal computers as well as printers and such. It sometimes also includes maintenance of certain network servers: file servers, VPN gateways, intrusion detection systems, etc. Network specialists and analysts concentrate on the network design and security, particularly troubleshooting and/or debugging network-related problems. Their work can also include the maintenance of the network's authorization infrastructure, as well as network backup systems. The administrator is responsible for the security of the network and for assigning IP addresses to the devices connected to the networks. Assigning IP addresses gives the subnet administrator some control over the professional who connects to the subnet. It also helps to ensure that the administrator knows each system that is connected and who personally is responsible for the system.
What is epochs in neural network?
A step in the training process of an artificial neural network
Disadvantage of artificial neural network?
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.
Where can one find information on artificial neural network?
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.
What Sentence for the word neural?
I'm not sure how to construct an artificial neutral network.
Advantage and disadvantage of neural network?
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.
What does the letters CNN mean?
A convolutional neural network (CNN) is a specific type of artificial neural network that uses perceptrons, a machine learning unit algorithm, for supervised learning, to analyze data. CNNs apply to image processing, natural language processing and other kinds of cognitive tasks. A convolutional neural network is also known as a ConvNet.
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 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.
What is momentum neural networks?
momentum neural network
What has the author Mohamad H Hassoun written?
Mohamad H. Hassoun has written: 'Associative Neural Memories' 'Fundamentals of artificial neural networks' -- subject(s): Neural networks (Computer science), Artificial intelligence
What is basic neutron of neural network?
Neural networks have nothing to do with neutrons.
What are the basic assumptions of Artificial Neural Networks?
wat's the answer for this question?...
What has the author R Lee Kennedy written?
R. Lee Kennedy has written: 'A comparison of logistic regression and artificial neural network models for the early diagnosis of acute myocardialinfarction (AMI)'
