… 3 Research on Single Neural Unit In this section, we make an analysis of the neural unit of
the Shannon Wavelet chaotic neural networks. The single neural unit can be described as (9) …

… neural networ with non-monotonous activation function composed by Sigmoid and Wavelet.
In this paper, wavelet chaotic neural networ models with different nonlinear self-feedbac s …

… composed of Shannon wavelet and Sigmoid. … chaotic neuron were given and the dynamic
system was analyzed. Based on the neuron model, a novel transiently chaotic neural network …

… of wavelet analysis, neural networks, and wavelet networks are … of wavelet analysis and
neural networks to create a new tool, … The wavelets in the Meyer wavelet family are infinitely …

… chaotic from stochastic time series, and to quantify the strength of the correlations. Our algorithm,
based on an Artificial Neural Network (… Then, we evaluate the Shannon entropy, known …

… minima, a new chaotic neural network model called Shannon wavelet chaotic neural network
was … In this paper, a new chaotic neural network model is presented to improve the ability to …

… neural networks models, in which the combination of wavelets and feedforward neural
networks … wavelet neural networks (WNNs) [4]. A particular feature of WNNs is that the localized …

… the combination of the fractional Meyer wavelet (FMW) neural networks (NNs) modeling and
… fractional order pantograph model using fractional Meyer computing solver is observed for …

… Differential neural network (NN) approach is applied in this uninformative situation but
with activation functions described by wavelets. A new learning law, containing an adaptive …

… (1) We used a novel tool of WE that combines wavelet decomposition with Shannon
entropy; (2) We proposed two novel classification methods—“FSCABC-FNN” and “BBO-FNN”—…