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  2. Random neural network - Wikipedia

    en.wikipedia.org/wiki/Random_neural_network

    The random neural network (RNN) [1] is a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals. It was invented by Erol Gelenbe and is linked to the G-network model of queueing networks as well as to Gene Regulatory Network models. Each cell state is represented by an integer whose value ...

  3. rnn (software) - Wikipedia

    en.wikipedia.org/wiki/Rnn_(software)

    With the release of version 0.3.0 in April 2016 [4] the use in production and research environments became more widespread. The package was reviewed several months later on the R blog The Beginner Programmer as "R provides a simple and very user friendly package named rnn for working with recurrent neural networks.", [5] which further increased usage.

  4. Types of artificial neural networks - Wikipedia

    en.wikipedia.org/wiki/Types_of_artificial_neural...

    A RNN (often a LSTM) where a series is decomposed into a number of scales where every scale informs the primary length between two consecutive points. A first order scale consists of a normal RNN, a second order consists of all points separated by two indices and so on. The Nth order RNN connects the first and last node.

  5. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    At the input level, it learns to predict its next input from the previous inputs. Only unpredictable inputs of some RNN in the hierarchy become inputs to the next higher level RNN, which therefore recomputes its internal state only rarely. Each higher level RNN thus studies a compressed representation of the information in the RNN below.

  6. RNN - Wikipedia

    en.wikipedia.org/wiki/RNN

    RNN or rnn may refer to: Random neural network , a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals Recurrent neural network , a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence

  7. Attention Is All You Need - Wikipedia

    en.wikipedia.org/wiki/Attention_Is_All_You_Need

    A key breakthrough was LSTM (1995), [note 1] a RNN which used various innovations to overcome the vanishing gradient problem, allowing efficient learning of long-sequence modelling. One key innovation was the use of an attention mechanism which used neurons that multiply the outputs of other neurons, so-called multiplicative units. [11]

  8. List of medical journals - Wikipedia

    en.wikipedia.org/wiki/List_of_medical_journals

    Journal of Medical Economics: Medicine: Taylor and Francis Group: English: 1998–present Journal of Medical Genetics: Genetics: BMJ Group: English: 1964–present The Journal of Medical Practice Management: Health Management: Greenbranch Publishing: English: 1984–present Journal of Medicine: Medicine: Karger Publishers: English: 1970–2004 ...

  9. List of medical and health informatics journals - Wikipedia

    en.wikipedia.org/wiki/List_of_medical_and_health...

    Impact Factors of scholarly journals publishing digital health (ehealth, mhealth) work. BMC Medical Informatics and Decision Making; BMJ Health & Care Informatics; Computers in Biology and Medicine; Health Informatics Journal; International Journal of Medical Informatics; Journal of the American Medical Informatics Association; Journal of ...