Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing

By Nazmul Siddique, Hojjat Adeli. 2013

353 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Efficient Epileptic Seizure Prediction Based on Deep Learning (2019, background): “MLP consists usually of three successive layers, called: input layer, hidden layers, and output layer [21].”
A New Neural Dynamic Classification Algorithm (2017, neutral): “Examples of the commonly used classification algorithms are k-nearest neighbor (KNN) [5]–[7] decision trees [8], support vector machines (SVMs) [9]–[11], probabilistic neural networks (PNNs) [12], [13], and random forest classification [14].”
Efficient machine learning models for prediction of concrete strengths (2021, background): “149 The MLP contains a system of simply interconnected neurons which are arranged into at 150 least three layers including an input layer, one or more hidden layers and finally an output 151 layer [27, 33].”
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals (2017, background): “Artificial Neural Network (ANN) Generally, an ANN has three layers: input, hidden, and output layers (see Figure 3) [20].”
Emerging artificial intelligence methods in structural engineering (2018, background): “The set of nature-inspired computational techniques defining CI provides solutions for such problems [23].”