Titlebook: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization; Patricia Melin,Oscar Castillo,Janusz

神化怪物

护身符

Cellular Neural Network Scheme for Image Binarization in Video Sequence Analysisnspired system used to detect dynamic objects in video sequences. Among its novelty is that besides binarization it is able to reduce also noise, and its parameters are self-adapted. Qualitative findings are used to show the advantage of using the cellular network.

解开

A Type-2 Fuzzy Neural Network Ensemble to Predict Chaotic Time Seriese chaotic time series is depicted by the register of seismic events and their seismic coordinates in a catalog. ANFIS model are used as components of the Ensemble to train and evaluate seven chaotic time series that are used by the M8 algorithm to make a prediction.

brachial-plexus

armistice

使害羞

nocturnal

Joseph V. Brady,Mary A. Andersonn be considered as a granule of information it continues to be a numeric value, in order to give a similar representation structure data. Granular theory and clustering algorithms can be combined to achieve this goal, resulting in granular prototypes and granular matrices of belonging and a more ref

FLINT

Small Groups and Confined Microsocieties and Type-2 fuzzy systems for edge detections based on the Sobel, which is a pre-processing applied to the training data for better performance in the modular neural network. The Choquet integral is an aggregation operator that in this case is used as a method to integrate the outputs of the modules

Wordlist

https://doi.org/10.1057/9781137445773of a neural network. We use two type-1 or type-2 fuzzy systems that work in the backpropagation learning method with the type-1 or type-2 fuzzy weight adjustment. The mathematical analysis of the proposed learning method architecture and the adaptation of type-1 or type-2 fuzzy weights are presented

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