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Showing 1 to 4 of 4 for “"modular neural networks"”.

  1. Biologically Inspired Modular Neural Networks

    This dissertation explores the modular learning in artificial neural networks that mainly driven by the inspiration from the neurobiological basis of the human learning. The presented modularization approaches to the neural network design and learning are inspired by the engineering, complexity, …

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  2. Modular Neural Networks for Analysis of Flow Cytometry Data

    … from samples is still required. Artificial Neural Networks (ANNs) are one of the tools applied to FC data analysis. <br/><br/>Despite several successful applications, ANNs have not been widely adopted by the marine biologist community, as they can not possible to change the number of species …

    southwales Repository record for Modular Neural Networks for Analysis of Flow Cytometry Data (opens in a new tab)

  3. A Methodology for the Prediction of the Empennage In-Flight Loads of a General Aviation Aircraft Using Backpropagation Neural Networks

    <p>Backpropagation neural networks have been used to predict strain resulting from the maneuver in-flight loads in the empennage structure of a Cessna 172P. The purpose of this research was to develop a methodology for the prediction of strain in the tail section of a general aviation aircraft and …

    embry-riddle Repository record for A Methodology for the Prediction of the Empennage In-Flight Loads of a General Aviation Aircraft Using Backpropagation Neural Networks (opens in a new tab)

  4. A sensory system for robots using evolutionary artificial neural networks.

    … Systems such as fully connected Feedforward Networks, Modular Neural Networks and the Neocognitron. The developed system, called the Distributed Neural Network (DNN) was based on the sensory-motor connections in the common toad, Bufo Bufo. The sparsely connected network architecture has …

    rgu Repository record for A sensory system for robots using evolutionary artificial neural networks. (opens in a new tab)