Titlebook: Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine; Oscar Castillo,Patricia Melin Book 2020 Springer Nature Switzerla

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書目名稱Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine讀者反饋學(xué)科排名

枕墊

Study of the Relevance of Polynomial Order in Takagi-Sugeno Fuzzy Inference Systems Applied in Diagn realm of classifications problems. The present paper is focused in a specific application of classification problems, the diagnosis systems, this problem consists in training an intelligent system to learn the relationship between symptoms and diagnosis, this kind of problems are usually based in p

JEER

Adaptation of Parameters with Binary Cat Swarm Optimization Algorithm of Controller for a Mobile Aut a mobile unicycle autonomous robot, with the aim of following an established trajectory with the lowest possible margin of error. Simulation results show that the proposed method achieves good results.

abysmal

Comparison of Fuzzy Controller Optimization with Dynamic Parameter Adjustment Based on of Type-1 andzzy logic to the Firefly Algorithm (FA). The FA is used for optimizations parameters of the membership functions in the fuzzy controllers. The dynamic adjustment is applied to the randomness parameter of the search space, which represents the exploration of the method, avoiding stagnation or prematu

投射

Particle Swarm Algorithm for the Optimization of Modular Neural Networks in Pattern Recognitionneural network in medical image recognition (Echocardiograms). As echocardiograms, these images help to diagnose heart diseases by the specialists and so can reduce the number of deaths by disease. Simulation results show that the scaled conjugate gradient (trainscg method) offers much higher perfor

Spangle

Optimal Recognition Model Based on Convolutional Neural Networks and Fuzzy Gravitational Search AlgoSA is inspired in extension of the Gravitational Search Algorithm (GSA) using fuzzy logic and this method is used to obtain the number of images per block that will enter in the training phase. The optimized CNN is applied for pattern recognition using the 10 handwritten numbers of the MINIST databa

獨(dú)行者

Optimal Number of Clusters Finding Using the Fireworks Algorithmng Fireworks Algorithm (FWA). The optimal number of clusters will be finding based on centroids and to determine the maximum K centroids of the interval where to search the Fireworks Algorithm, we are introducing two statistics rules: Sturges Law and the square root of N, also we are introducing two

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