A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ten lectures on wavelets
A friendly guide to wavelets
Fuzzy Sets and Systems - Special issue on fuzzy neural control
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
Numerical analysis of the learning of fuzzified neural networks from fuzzy if—then rules
Fuzzy Sets and Systems - Special issue on clustering and learning
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Iterative inversion of fuzzified neural networks
IEEE Transactions on Fuzzy Systems
A comparison between neural-network forecasting techniques-case study: river flow forecasting
IEEE Transactions on Neural Networks
Neuro-fuzzy rule generation: survey in soft computing framework
IEEE Transactions on Neural Networks
Efficient learning algorithms for three-layer regular feedforward fuzzy neural networks
IEEE Transactions on Neural Networks
Uncertainty of data, fuzzy membership functions, and multilayer perceptrons
IEEE Transactions on Neural Networks
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In neural network the connection strength of each neuron is updated through learning. Through repeated simulations of crisp neural network, we propose the idea that for each neuron in the network, we can obtain reduced model with more efficiency using wavelet based multiresolution analysis (MRA) to form wavelet based quasi fuzzy weight sets (WBQFWS). Such type of WBQFWS provides good initial solution for training in type-I fuzzy neural networks thus the search space for synoptic connections is reduced significantly, resulting in fast and confident learning of fuzzy neural networks. As real data is subjected to noise and uncertainty, therefore, WBQFWS may be helpful in the simplification of complex problems using low dimensional data sets.