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Titlebook: Methods and Procedures for the Verification and Validation of Artificial Neural Networks; Brian J. Taylor Book 2006 Springer-Verlag US 200

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發(fā)表于 2025-3-28 14:48:46 | 只看該作者
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發(fā)表于 2025-3-28 20:44:45 | 只看該作者
Bojan Cukic,Edgar Fuller,Martin Mladenovski,Sampath Yerramallassed in this work, wherein it is assumed that the communication delay is time-varying function. The proposed consensus protocol is substituted by applying the concept of network-centrality for agent, from now on, the protocol will be called to as the substitute consensus protocol. Here, the network-
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發(fā)表于 2025-3-28 23:28:23 | 只看該作者
ssed in this work, wherein it is assumed that the communication delay is time-varying function. The proposed consensus protocol is substituted by applying the concept of network-centrality for agent, from now on, the protocol will be called to as the substitute consensus protocol. Here, the network-
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發(fā)表于 2025-3-29 04:29:19 | 只看該作者
Validation of Neural Networks Via Taxonomic Evaluation,or the problem being solved. Given that a particular neural network model should be able to solve the problem, the next major concern is to focus upon the supporting requirements that should be addressed, e.g., the particular neural network architecture.
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發(fā)表于 2025-3-29 07:53:22 | 只看該作者
Neural Network Visualization Techniques,or no knowledge of the workings of a neural network. Through the use of visualization techniques, such as simple neuron models, the MATLAB Neural Network Toolbox and Simulink, or even 3D visualizations, the understanding can be increased.
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發(fā)表于 2025-3-29 14:49:55 | 只看該作者
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