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neural network simulation model vs network simulation model

Both phrases are correct, but they convey slightly different meanings. 'Neural network simulation model' specifically refers to a simulation model that involves neural networks, while 'network simulation model' is a more general term that could refer to any type of network, such as computer networks. The choice between the two depends on the specific context and the type of network being simulated.

Last updated: March 19, 2024 • 464 views

neural network simulation model

This phrase is correct and commonly used in the context of simulating neural networks.

This phrase is used to refer to a simulation model that specifically involves neural networks. It is commonly used in the field of artificial intelligence and machine learning.

Examples:

  • The researchers developed a neural network simulation model to study the behavior of the network.
  • The neural network simulation model accurately predicted the outcomes of the experiment.
  • Training a neural network simulation model requires a large amount of data.
  • The neural network simulation model was able to learn complex patterns in the data.
  • The accuracy of the neural network simulation model depends on the quality of the training data.
  • The bio-hydrogen producing process has complex interactions; thus, constructing a detailed mechanistic model and proper control architecture is difficult.
  • The transition from a neural network simulation model to its hardware representation is a complex process, which touches computations precision, performance ...
  • Spiking models are a class of biological neural network simulation model which individuate each action potential or "spike" in the behavioral record. Recent and ...
  • By assuming the skill transfer takes place implicitly, we use human skill data to train the robot via a neural network simulation model. The method has an ...

Alternatives:

  • simulation model for neural networks
  • neural network simulator model
  • model for simulating neural networks
  • neural network simulation tool
  • neural network simulation software

network simulation model

This phrase is correct and can refer to a simulation model of any type of network, not specifically neural networks.

This phrase is more general and can refer to simulation models of various types of networks, such as computer networks, social networks, or transportation networks.

Examples:

  • The engineers developed a network simulation model to test the efficiency of the communication network.
  • Using a network simulation model, researchers can analyze the flow of information in a social network.
  • The network simulation model helped optimize the routing of vehicles in the transportation network.
  • A network simulation model can provide insights into the performance of a wireless sensor network.
  • Simulating a network using a network simulation model can help identify bottlenecks and improve performance.
  • designing and using an accurate network simulation model of the Teragrid network, and the performance of a number of high speed TCP variants. We introduce ...
  • Actual shipments are also outputs in a network simulation model, enabling users to understand how well transportation assumptions made in a network ...
  • A Dynamic Network Simulation Model Based on Multi-Agent Systems. Rosaldo J. F. RossettiAffiliated withGestão de Sistemas e Tecnologias de Informação, ...
  • The objective of the general packet radio service (GPRS) network simulation is to obtain accurate enough implementation of GPRS network in Network ...

Alternatives:

  • simulation model for networks
  • general network simulation model
  • model for simulating networks
  • network simulator model
  • network simulation tool

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