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Fuzzy Neuroidal Nets and Recurrent Fuzzy Computations.
neuroidal nets. The same holds for fuzzy neural nets which are a special case of fuzzy neuroidal nets.We define fuzzy neuroidal nets in a way that enables to relate their computations to computations of f...
BA - Obecná matematika
- 2001 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Energy-Time Tradeoff in Recurrent Neural Nets
result for the recurrent neural nets which are known to be computationally complexity for recurrent architectures which counts the number of simultaneously active any deterministic finite automaton by a low-energy...
IN - Informatika
- 2015 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Predicting weather with deep learning
In this workshop we will implement train and test machine learning models that analyze satellite and weather radar data. You will get hands-on experience with the most common deep neural nets used for spatiotemporal predictions (e.g...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2023 •
- W •
- Link
Rok uplatnění
W - Uspořádání workshopu
Výsledek na webu
Neural nets
The paper presents basics of neural nets theory. The question of realization of Boolean functions using neural nets is solved....
Pure mathematics
- 2017 •
- D
Rok uplatnění
D - Stať ve sborníku
Automated modeling of microwave structures by enhanced neural networks
method to avoid critical training problems of the conventional neural nets. In the paper, neural networks are used to approximate the behavior of a planar microwaveThe paper describes the methodology of the automated creat...
JA - Elektronika a optoelektronika, elektrotechnika
- 2006 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Comparing Top-Down and Bottom-Up Neural Generative Dependency Models
Recurrent neural network grammars generate sentences using phrase-structure syntax and perform very well on both parsing and language modeling. To explore whether generative dependency models are similarly effective, we propose two ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 •
- O •
- Link
Rok uplatnění
O - Ostatní výsledky
Výsledek na webu
Generating Text from R.U.R. with Recurrent Neural Netwoks
Main topics of the document: neural networks; LSTM; generating text; recurrent neural networks; sequence models...
Statistics and probability
- 2019 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Sequence-to-Sequence CNN-BiLSTM Based Glottal Closure Instant Detection from Raw Speech
In this paper, we propose to frame glottal closure instant (GCI) de- tection from raw speech as a sequence-to-sequence prediction problem and to explore the potential of recurrent neural networks (RNNs) to handle this prob- lem. We ...
Automation and control systems
- 2022 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Recurrent Neural Networks Package
The Recurrent Neural Networks Package contains a set of functions implementing the fully recurrent topology-based neural networks with heterogeneous units in Wolfram Mathematica. It implements the gradient training...
IN - Informatika
- 2011 •
- R •
- Link
Rok uplatnění
R - Software
Výsledek na webu
Simulating the Finite State Machines using Fully Recurrent Neural Network
In this paper fully recurrent type of neural network simulating the finite state machine is described.
IN - Informatika
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
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