neural network
ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR ACTIVE NOISE CONTROL APPLICATIONS
... a neural network whose inputs are delayed samples of the signal, one linear neuron as output and no hidden ...the network should also be included in the ...
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RBF neural network implementation in hardware
... Given this behavioral description of a RBF neural network, this paper proposed an architecture which consists of a set of neurons and a controller responsible for coordinating the operations. Each neuron is ...
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TítuloA recurrent neural network for wastewater treatment plant effuents' prediction
... connections between hidden neurons form a di- rected cycle (unfolding process is observable in Fig.2). This means that the hidden state of the neural network is adopted to give some extra in- formation ...
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TítuloHybrid modelling using neural network based prediction under Foundation Fieldbus
... via neural Networks Computation, IEEE Control ...of Neural Networks, Prentice-Hall, Englewood Cliffs, NJ, 1994 [14] Demuth, ...M., Neural Network Toolbox for Use with MATLAB, the Math Works ...
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A neural network clustering algorithm for the ATLAS silicon pixel detector
... the neural network clustering algorithm, particles are assumed to have been produced at the centre of the beam interaction region, which is estimated using the primary vertices of collisions from a ...
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Neural Network based Fault Diagnosis Procedure for the Detector System of CFDF
... according to some function x(t), whose values are always in the range 0 x(t) 1. This function is a periodic function the frequency of which is varied in an appropriate manner during the experiment and is independent of ...
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Implementación de Redes Generativas Adversarias (GANs) para la generación de imágenes de tejido humano
... In practice, a known dataset serves as the initial training data for the discriminator. Training the discriminator involves presenting it with samples from the dataset, until it reaches some level of accuracy. Typically ...
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Evaluacin de tejido cervical infectado y sano utilizando un sistema LIFS y una red neuronal Back Propagation
... order to recognize if these were similar to the learned spectra and produce a similar output. The neural network output layer produces only one value and the tissue classification is assessed as follows: ...
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I DENTIFICATION OF COUPLING MECHANICAL EFFORTS
... the neural networks is proposed for avoiding certain problems of calculation by remaining relatively easy to use and without requiring many ...the network are the modulus of the global vibratory ...the ...
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