Evolving and spiking connectionist systems for brain-inspired artificial intelligence
N Kasabov - Artificial intelligence in the age of neural networks and …, 2019 - Elsevier
Artificial neural networks have now a long history as major techniques in computational
intelligence with a wide range of application for learning from data and for artificial …
intelligence with a wide range of application for learning from data and for artificial …
FROM MULTILAYER PERCEPTRONS AND NEUROFUZZY SYSTEMS TO DEEP LEARNING MACHINES: WHICH METHOD TO USE?-A SURVEY.
N Kasabov - … Journal on Information Technologies & Security, 2017 - search.ebscohost.com
Artificial neural networks have now a long history as major techniques in computational
intelligence with a wide range of application for learning from data. There are many methods …
intelligence with a wide range of application for learning from data. There are many methods …
Brain-inspired evolving and spiking connectionist systems
NK Kasabov - Artificial Intelligence in the Age of Neural Networks and …, 2024 - Elsevier
Artificial neural networks, also known as connectionist systems, have now a long history as
major techniques in computational intelligence with a wide range of application for learning …
major techniques in computational intelligence with a wide range of application for learning …
Artificial neural networks. evolving connectionist systems
NK Kasabov, NK Kasabov - Time-Space, Spiking Neural Networks and …, 2019 - Springer
Classical artificial neural networks (ANN) were developed to learn from data. Evolving
connectionist systems (ECOS) were further developed by the author and taken further by …
connectionist systems (ECOS) were further developed by the author and taken further by …
Robust fuzzy inference system for prediction of time series with outliers
Y Bai, T Li - 2012 International conference on Fuzzy Theory and …, 2012 - ieeexplore.ieee.org
In this paper, a new robust fuzzy inference system is utilized to predict the chaotic time series
with noises or outliers. We employ an improved fuzzy rule extraction algorithm using data …
with noises or outliers. We employ an improved fuzzy rule extraction algorithm using data …
[PDF][PDF] Year of Publication: 2020
HM Abd EL-Kader, AIA El-Shora - 2020 - academia.edu
The vast weather changes effect on human activities. Dealing with weather data manually is
very difficult job and time consuming operation. The process of data entry requires a precise …
very difficult job and time consuming operation. The process of data entry requires a precise …
[PDF][PDF] Developing a Neuro-Fuzzy Model for Weather Prediction
HM Abd EL-Kader, AIA El-Shora - International Journal of Computer … - researchgate.net
The vast weather changes effect on human activities. Dealing with weather data manually is
very difficult job and time consuming operation. The process of data entry requires a precise …
very difficult job and time consuming operation. The process of data entry requires a precise …
[PDF][PDF] Artificial neural networks for artificial intelligence
N Kasabov - IDRBT JOURNAL OF - academia.edu
Artificial neural networks now have a long history as major techniques in computational
intelligence with a wide range of applications for learning from data. There are many …
intelligence with a wide range of applications for learning from data. There are many …