Pulsar Detection for Wavelets SODA and Regularized Fuzzy Neural Networks Based on Andneuron and Robust Activation Function

The use of intelligent models may be slow because of the number of samples involved in the problem. The identification of pulsars (stars that emit Earth-catchable signals) involves collecting thous...

[1]  Ingrid Daubechies,et al.  The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.

[2]  María de Lourdes Martínez-Villaseñor,et al.  A Flexible Approach for Human Activity Recognition Using Artificial Hydrocarbon Networks , 2016, Sensors.

[3]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[4]  Joshua D. Knowles,et al.  Fifty years of pulsar candidate selection: from simple filters to a new principled real-time classification approach , 2016, Monthly Notices of the Royal Astronomical Society.

[5]  Witold Pedrycz,et al.  Neurocomputations in Relational Systems , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Plamen P. Angelov,et al.  A Generalized Methodology for Data Analysis , 2018, IEEE Transactions on Cybernetics.

[7]  Witold Pedrycz,et al.  Fuzzy relational neural network , 2006, Int. J. Approx. Reason..

[8]  Michael A. Fligner,et al.  Distribution-Free Two-Sample Tests for Scale , 1976 .

[9]  Witold Pedrycz,et al.  Fuzzy Set Based Neural Networks: Structure, Learning and Application , 1999, J. Adv. Comput. Intell. Intell. Informatics.

[10]  Avory Bryant,et al.  RNN-DBSCAN: A Density-Based Clustering Algorithm Using Reverse Nearest Neighbor Density Estimates , 2018, IEEE Transactions on Knowledge and Data Engineering.

[11]  Thiago Silva Rezende,et al.  Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems , 2018, Inteligencia Artif..

[12]  I. Daubechies.  Orthonormal bases of compactly supported wavelets , 1988 .

[13]  A SriKrishna,et al.  Offline Signature Verification Using Support Local Binary Pattern , 2016 .

[14]  G. Desvignes,et al.  SEARCHING FOR PULSARS USING IMAGE PATTERN RECOGNITION , 2013, 1309.0776.

[15]  R. P. Eatough,et al.  Selection of radio pulsar candidates using artificial neural networks , 2010, 1005.5068.

[16]  S. Burke-Spolaor,et al.  The High Time Resolution Universe Pulsar Survey - VI. An artificial neural network and timing of 75 pulsars , 2012, 1209.0793.

[17]  Hongming Zhou,et al.  Extreme Learning Machine for Regression and Multiclass Classification , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[18]  Xiaowei Gu,et al.  Empirical Data Analytics , 2017, Int. J. Intell. Syst..

[19]  Witold Pedrycz,et al.  Logic-Based Fuzzy Neurocomputing With Unineurons , 2006, IEEE Transactions on Fuzzy Systems.

[20]  T. V. Geetha,et al.  Indian Logic Ontology based Automatic Query Refinement , 2008 .

[21]  Ridong Zhang,et al.  A Nonlinear Fuzzy Neural Network Modeling Approach Using an Improved Genetic Algorithm , 2018, IEEE Transactions on Industrial Electronics.

[22]  D. F. Watson.  Computing the n-Dimensional Delaunay Tesselation with Application to Voronoi Polytopes , 1981, Comput. J..

[23]  Lin Feng,et al.  Robust activation function and its application: Semi-supervised kernel extreme learning method , 2014, Neurocomputing.

[24]  Xiaowei Gu,et al.  Self-Organised direction aware data partitioning algorithm , 2018, Inf. Sci..

[25]  Taha M. Mohamed.  Pulsar selection using fuzzy knn classifier , 2017 .

[26]  C. Flynn,et al.  SPINN: a straightforward machine learning solution to the pulsar candidate selection problem , 2014, 1406.3627.

[27]  Kenneth J. White,et al.  THE DURBIN-WATSON TEST FOR SERIAL CORRELATION WITH EXTREME SAMPLE SIZES OR MANY REGRESSORS' , 1977 .

[28]  S. Burke-Spolaor,et al.  The High Time Resolution Universe Pulsar Survey - I. System configuration and initial discoveries , 2010, 1006.5744.