Titlebook: Issues in the Use of Neural Networks in Information Retrieval; Iuliana F. Iatan Book 2017 Springer International Publishing Switzerland 20

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特征

Modern Neural Methods for Function Approximation,f hierarchical neural-fuzzy systems for function approximation on discrete spaces, 1:29–41, 2005, [.]) strong research in the past years. Application approaches with their solid results ilustrate that such approximations by the NNs have remarkable accuracy, especially by feedforward neural networks

死亡

circumvent

渐变

A New Interval Arithmetic-Based Neural Network,4, [.] differs from the other fuzzy variants of the nonlinear perceptron, where the fuzzy numbers are represented by membership values. In the case of FNPALS, the fuzzy numbers are represented through the alpha level sets.

冷漠

1860-949X a new neural-network-based method for learning image similarThis book highlights the ability of neural networks (NNs) to be excellent pattern matchers and their importance in information retrieval (IR), which is based on index term matching. The book defines a new NN-based method for learning image

Supplement

A Recurrent Neural Fuzzy Network,he layers of neurons of these networks and within the same layer, too. The aim of this chapter is to describe a Recurrent Fuzzy Neural Network (RFNN) model, whose learning algorithm is based on the Improved Particle Swarm Optimization (IPSO) method.

敬礼

DIS

,A Fuzzy Kwan–Cai Neural Network for Determining Image Similarity and for the Face Recognition,ong and Gong, Image Vis Comput, 29:774–786, 2011 [.]), (Chowhan, Int J Comput Electr Eng, 3(5):743–747, 2011 [.]) and for supervised classification (Hariri, Shokouhi and Mozayani, Iran J Electr Electron Eng, 4(3):79–93, 2008 [.]).

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