DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction
NK Kasabov, Q Song - IEEE transactions on Fuzzy Systems, 2002 - ieeexplore.ieee.org
This paper introduces a new type of fuzzy inference systems, denoted as dynamic evolving
neural-fuzzy inference system (DENFIS), for adaptive online and offline learning, and their …
neural-fuzzy inference system (DENFIS), for adaptive online and offline learning, and their …
[LIVRE][B] Evolving connectionist systems: the knowledge engineering approach
NK Kasabov - 2007 - books.google.com
This second edition of the must-read work in the field presents generic computational
models and techniques that can be used for the development of evolving, adaptive modeling …
models and techniques that can be used for the development of evolving, adaptive modeling …
Evolving fuzzy neural networks for supervised/unsupervised online knowledge-based learning
N Kasabov - IEEE Transactions on Systems, Man, and …, 2001 - ieeexplore.ieee.org
This paper introduces evolving fuzzy neural networks (EFuNNs) as a means for the
implementation of the evolving connectionist systems (ECOS) paradigm that is aimed at …
implementation of the evolving connectionist systems (ECOS) paradigm that is aimed at …
[LIVRE][B] Evolving connectionist systems: Methods and applications in bioinformatics, brain study and intelligent machines
N Kasabov - 2013 - books.google.com
Many methods and models have been proposed for solving difficult problems such as
prediction, planning and knowledge discovery in application areas such as bioinformatics …
prediction, planning and knowledge discovery in application areas such as bioinformatics …
Perac: A neural architecture to control artificial animals
P Gaussier, S Zrehen - Robotics and Autonomous Systems, 1995 - Elsevier
In this paper, we propose a new neural architecture called PerAc witch is a systematic way
to decompose the control of an autonomous robot in perception and action flows. The PerAc …
to decompose the control of an autonomous robot in perception and action flows. The PerAc …
[LIVRE][B] Dynamic Evolving Fuzzy Neural Networks with" m-out-of-n" Activation Nodes for On-line Adaptive Systems
NK Kasabov, Q Song - 1999 - kedri.aut.ac.nz
The paper introduces a new type of evolving fuzzy neural networks (EFuNNs), denoted as
mEFuNNs, for on-line learning and their applications for dynamic time series analysis and …
mEFuNNs, for on-line learning and their applications for dynamic time series analysis and …
From SAB90 to SAB94: Four years of animat research
From SAB90 to SAB94 : Four Years of Animat Research Page 1 This is a portion of the eBook
at doi:10.7551/mitpress/3117-001-0021 From SAB90 to SAB94 : Four Years of Animat …
at doi:10.7551/mitpress/3117-001-0021 From SAB90 to SAB94 : Four Years of Animat …
Dynamical neural networks for planning and low-level robot control
We use dynamical neural networks based on the neural field formalism for the control of a
mobile robot. The robot navigates in an open environment and is able to plan a path for …
mobile robot. The robot navigates in an open environment and is able to plan a path for …
Robot control and the evolution of modular neurodynamics
F Pasemann, U Steinmetz, M Hülse, B Lara - Theory in Biosciences, 2001 - Elsevier
A modular approach to neural behavior control of autonomous robots is presented. It is
based on the assumption that complex internal dynamics of recurrent neural networks can …
based on the assumption that complex internal dynamics of recurrent neural networks can …
[PDF][PDF] Evolving connectionist and fuzzy connectionist systems–theory and applications for adaptive, on-line intelligent systems
N Kasabov - Neuro-Fuzzy Techniques for Intelligent Information …, 1999 - academia.edu
The paper introduces one paradigm of neuro-fuzzy techniques and an approach to building
on-line, adaptive intelligent systems. This approach is called evolving connectionist systems …
on-line, adaptive intelligent systems. This approach is called evolving connectionist systems …