Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry

Index

A

Adaptive Neuro-Fuzzy Inference System (ANFIS)

Sugeno FIS

aggregation

antecedent

architecture of

consequent

defuzzification

membership functions

normalization

rules

Tsukamoto FIS

Adaptive Resonance Theory (ART)

applications of

architecture

attention

classification problems

F ₁ and F ₂ (attentional layer)

orientation

output layer

Python implementation

vigilance threshold

Akaike information criteria (AIC)

Approximate reasoning

SeeReasoning

Artificial neural networks (ANNs)

activation functions

leaky ReLU

ReLU functions

sigmoid

softmax function

Tanh

backpropagation

computational graph of

concepts of

cost function

forward propagation

gradient descent process

hidden layers

input layer

layers

LSTM

multi-layer

architecture

convolutional neural networks

recurrent neural networks

output layer ...