A stochastic model of retinotopy: A self organizing process
Biological Cybernetics
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Networks of spiking neurons: the third generation of neural network models
Transactions of the Society for Computer Simulation International - Special issue: simulation methodology in transportation systems
Pulsed Neural Networks
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
CiE '07 Proceedings of the 3rd conference on Computability in Europe: Computation and Logic in the Real World
Computational Intelligence: Methods and Techniques
Computational Intelligence: Methods and Techniques
Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications
Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications
Robust fuzzy clustering with fuzzy data
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
The paper introduces several modifications to self-learning fuzzy spiking neural network that is used as a base for evolving system design. The adaptive wavelet activation-membership functions are utilized to improve and generalize receptive neuron activation functions and the temporal Hebbian learning algorithm. The proposed evolving spiking wavelet-neuro-fuzzy self-learning system retains native features of spiking neurons and reveals evolving systems' capabilities in detecting overlapping clusters of irregular form.