Results 11 to 20 of about 124,788 (331)
Modeling Interval Timing by Recurrent Neural Nets [PDF]
Frontiers in Integrative Neuroscience, 2019 The purpose of this study was to take a new approach in showing how the central nervous system might encode time at the supra-second level using recurrent neural nets (RNNs).
Theodore Raphan +5 more
doaj +2 more sources
TIME SERIES PREDICTION BY NEURAL NETS [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2002 Application of non-classical methods in modeling complex systems and forecasting their behavior has become as more as usual for the scientists and professionals.
Mohammad Reza Asgari Oskoei
doaj +1 more source
Accurate clinical toxicity prediction using multi-task deep neural nets and contrastive molecular explanations. [PDF]
Sci Rep, 2023 Sharma B +6 more
europepmc +3 more sources
A Study on Different Deep Learning Algorithms Used in Deep Neural Nets: MLP SOM and DBN. [PDF]
Wirel Pers Commun, 2023 Naskath J, Sivakamasundari G, Begum AAS.
europepmc +3 more sources
Evolution of Symbolisation in Chimpanzees and Neural Nets [PDF]
, 2000 from Introduction: Animal communication systems and human languages can be characterised by the type of cognitive abilities that are required. If we consider the main semiotic distinction between communication using icons, signals, or symbols (Peirce ...
Cangelosi, Angelo
core +2 more sources
FPGA Implementation of Neural Nets [PDF]
International Journal of Electronics and Telecommunications, 2023 The field programmable gate array (FPGA) is used to build an artificial neural network in hardware. Architecture for a digital system is devised to execute a feed-forward multilayer neural network.
B A Sujatha Kumari +2 more
doaj +1 more source
Current Biology, 2015 Although modern evolutionary biology has abandoned the use of 'lower' or 'higher' for animals, the quote of G.H. Parker captures quite well the current understanding of the nerve net as the evolutionarily oldest organization of the nervous system, the major organ system responsible for processing information and coordinating animal behaviour.
Hejnol, Andreas, Rentzsch, Fabian
openaire +2 more sources
Bayesian error propagation for neural-net based parameter inference
The Open Journal of Astrophysics, 2022 Neural nets have become popular to accelerate parameter inferences, especially for the upcoming generation of galaxy surveys in cosmology. As neural nets are approximative by nature, a recurrent question has been how to propagate the neural net's ...
Daniela Grandón, Elena Sellentin
doaj +1 more source
Network anomaly detection using deep learning techniques
CAAI Transactions on Intelligence Technology, 2022 Convolutional neural networks (CNNs) are the specific architecture of feed‐forward artificial neural networks. It is the de‐facto standard for various operations in machine learning and computer vision.
Mohammad Kazim Hooshmand +1 more
doaj +1 more source
A Review on Explainability in Multimodal Deep Neural Nets
IEEE Access, 2021 Artificial Intelligence techniques powered by deep neural nets have achieved much success in several application domains, most significantly and notably in the Computer Vision applications and Natural Language Processing tasks.
Gargi Joshi +2 more
doaj +1 more source