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词汇 neural-network
释义 neural network
noun[ C ]
uk /ˌnjʊə.rəl ˈnet.wɜːk/ us /ˌnʊr.əl ˈnet.wɝːk/(informalneural net)
a mathematical representation of text or other types of media that is designed to operate in a similar way to a group of connected nerve cells in an organism:
Neural networks can learn solutions to difficult problems.类神经网络能学习如何解决问题的办法。
The researchers used a huge annotated database to train the neural net.
A neural network acquires knowledge through learning.
Neural nets can learn and they can even generate new rules from existing data.
They use a system of neural networks to cut power consumption at peak hours.
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Examples of neural network


neural network
There is a probability that the neuralnetwork misclassifies a grasp.
If the neuralnetwork-based diagnosis fails, a case-base is used to realize a more specific diagnosis.
The knowledge representation and reasoning of model-based and rule-based diagnoses are symbol-based, while those of neuralnetwork-based and case-based diagnoses are instance-based.
The results obtained with the hybrid model are better than those using just a neuralnetwork to solve the problem, as shown in the table.
I describe an example of a potential synergy based on studies of neuralnetwork pruning.
This explains the criticism of neuralnetwork modeling and connectionism (p. 33 and other parts of the book).
From a functional point of view, a single neuralnetwork may be considered sometimes as a pattern generating and/or a pattern recognizing device.
To assess the influence of external and internal factors on the neuralnetwork accuracy, a three-phase experiment is created.
A neuralnetwork approach to hippocampal function in classical conditioning.
An artificial neuralnetwork constitutes the "brain" that controls the agent's behavior.
The neuralnetwork could not predict test results when the interval exceeded 2 days.
These investigations have examined clinical interventions for depression based upon a neuralnetwork model.
A linear predictor model is developed and used as a benchmark for evaluating the performance of the neuralnetwork.
By sampling the trained neuralnetwork, approximations of likelihoods were obtained for design variable values, and, consequently, constraint satisfaction problemsolving capability was achieved.
This information will be used for formulation of the problem and will be input to the neuralnetwork as well.
See all examples of neural network
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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