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  2. Recurrent neural network - Wikipedia

    en.wikipedia.org/wiki/Recurrent_neural_network

    Modern RNN networks are mainly based on two architectures: LSTM and BRNN. [32] At the resurgence of neural networks in the 1980s, recurrent networks were studied again. They were sometimes called "iterated nets". [33] Two early influential works were the Jordan network (1986) and the Elman network (1990), which applied RNN to study cognitive ...

  3. Random neural network - Wikipedia

    en.wikipedia.org/wiki/Random_neural_network

    The RNN is a recurrent model, i.e. a neural network that is allowed to have complex feedback loops. [2] A highly energy-efficient implementation of random neural networks was demonstrated by Krishna Palem et al. using the Probabilistic CMOS or PCMOS technology and was shown to be c. 226–300 times more efficient in terms of Energy-Performance ...

  4. Bidirectional recurrent neural networks - Wikipedia

    en.wikipedia.org/wiki/Bidirectional_recurrent...

    Structure of RNN and BRNN [1] The principle of BRNN is to split the neurons of a regular RNN into two directions, one for positive time direction (forward states), and another for negative time direction (backward states). Those two states' output are not connected to inputs of the opposite direction states.

  5. Neural network (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Neural_network_(machine...

    Today's deep neural networks are based on early work in statistics over 200 years ago. The simplest kind of feedforward neural network (FNN) is a linear network, which consists of a single layer of output nodes with linear activation functions; the inputs are fed directly to the outputs via a series of weights. The sum of the products of the ...

  6. 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.

  7. Plant intelligence - Wikipedia

    en.wikipedia.org/wiki/Plant_intelligence

    Plant intelligence (also known as plant cognition or plant neurobiology) is a field of plant biology which aims to understand how plants process the information they obtain from their environment. [ 2 ] [ 3 ] [ 4 ] Plant neurobiological researchers claim that plants possess abilities associated with cognition including anticipation, decision ...

  8. Jets eliminated from playoff contention, extending NFL-worst ...

    www.aol.com/jets-eliminated-playoff-contention...

    The New York Jets have once again been eliminated from the NFL playoff picture, pushing their league-worst drought to 14 seasons.

  9. The Nervous Mechanism of Plants - Wikipedia

    en.wikipedia.org/.../The_Nervous_Mechanism_of_Plants

    The aim of the work was to materially advance the knowledge of nervous impulse in general with the realisation that the physiological mechanism of a plant is identical to that of the animal. [3] On account of this work, among others, plant physiology studies made considerable progress in linking electrical signals with pollination , phloem ...