Computers and Technology, 15.07.2019 15:30 AaronEarlMerringer

Prediction accuracy of a neural network depends on and

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Answer from: hollycoleman13

Prediction accuracy of a neural network depends on input and output.

Further Explanation:

Neural network: Neural network are used for mainly deep learning. It has multiple layer of neurons that are used to classify things and make predictions. The neural network consists of input layer, hidden layers and output layers. The prediction of accuracy depends on input as well as output. The prediction process also depends on training process of neural network.

The prediction of neural network depends on the following features:

The method used for neural modeling The characteristics of data set used The training process of neural network (For e.g. Fuzzy logic) Input and Output data

The applications of neural network are listed below:

Text Classification and Categorization Part of Speech Tagging Semantic Parsing Paraphrase Detection Machine Translation Speech Recognition Spell Checking

Learn more:

1. A company that allows you to license software monthly to use online is an example of ?

2. Prediction accuracy of a neural network depends on and .

3. The shape of our galaxy was determined ‘on the inside looking out' by surveying the milky way using telescopes.

4. List 3 characteristics of the ideal encryption scheme.

Answer details:

Grade: Computer Engineering Subject: Artificial Intelligence Chapter: neural Network

Keyword:

Neural network, prediction accuracy, depend, input, output, modeling, training process, artificial neural network, characteristics, data set, Face Recognition, fuzzy logic, deep learning, prediction, input layer, hidden layers, output layers

Answer from: thatonestudent2271

Prediction Accuracy of Neural Networks depends upon two key factors

1-Neural modeling framework used

2-Characteristics of data set-Imputed

A neural network is a network of neurons, like a human brain has, or in a current era sense, an artificial neural network, made up of of artificial neurons or nodes. Hence a neural network is a computing system that is inspired by human brain and its nervous system. It is used to solve Artificial Intelligence (AI) problems.

Further Explanation:

•ANN is an adaptive system that adjusts its structure on the basis of external or internal information which flows through the network and this change also depends on the computational model used. Neural Network (NN) or Artificial Neural Network (ANN) prediction accuracy depends upon:

1-Characteristics of Data Set Imputed:

A neural network is a series of algorithms used to recognize underlying relationships in a set of data through a process that resembles the way the human brain processes information.

Neural networks can adjust itself to changing inputs; so the network generates the best possible result without needing to redesign the output requirements.

2-Neural Models:

Neural modeling field is a mathematical framework for machine learning which is based on combining ideas comes from neural networks, fuzzy logic- a kind of logic used in computers that are designed to act like humans, and model based recognition.

Practical Application

Self driving Cars Business forecasting i.e. planning, demands, supply Pattern-object recognition i.e. face recognition Medical diagnosis

Helpful Links on Neural Networks explanation:

Answer details :

Grade: High School

Subject: Computers and Technology

Key Words:

Machine learning, neural networks, artificial neural networks, artificial intelligence, Neural modeling etc

Answer from: Quest

Exactly what he said he smart

Answer from: Quest

Through the process of sedimentation,sediment is turned back to rock to form sedimentation.the process of sedimentation is: > deposition-where fragments were deposited into the river or sea under gravity or travelling agent such as wind or water. > sedimentation-the fragments deposited in the river sedimented and accumulate> compaction-the layers of fragments deposited undergoes compaction due to the weight if the upper layers> cementation-chemical substance of the fragments such as cement dissolved into the water and cement the other fragments together to form sedimentary rock.thus,cementation and compaction are the process.on the other hand, transformation only occur when a rock under goes metamorphism(compaction or extreme heat).while recrystillization occurs when a rock is melted and cooled down,which also requires metamorphism to take place.hope it !

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