Entropy-Based Approach to Analyze and Classify Mineral Aggregates
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Luciano da Fontoura Costa | Rodrigo Fernandes de Mello | Luciano José Senger | Lilian Tais de Gouveia | Marcelo Keese Albertini
[1] Snehamoy Chatterjee,et al. Rock-type classification of an iron ore deposit using digital image analysis technique , 2008 .
[2] M I Pinard,et al. DURABILITY ASPECTS OF CHEMICALLY STABILIZED, WEATHERED BASALTIC MATERIALS FOR LOW-VOLUME ROAD BASE CONSTRUCTION , 1987 .
[3] Stephen Grossberg,et al. Art 2: Self-Organization Of Stable Category Recognition Codes For Analog Input Patterns , 1988, Other Conferences.
[4] Candan Gokceoglu,et al. A comparative study on indirect determination of degree of weathering of granites from some physical and strength parameters by two soft computing techniques , 2009 .
[5] Stephen Grossberg,et al. ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition , 1991, Neural Networks.
[6] Fionn Murtagh,et al. Wavelet and curvelet moments for image classification: Application to aggregate mixture grading , 2008, Pattern Recognit. Lett..
[7] Gail A. Carpenter,et al. ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data , 1997, IEEE Trans. Geosci. Remote. Sens..
[8] C. Holt. Author's retrospective on ‘Forecasting seasonals and trends by exponentially weighted moving averages’ , 2004 .
[9] Fionn Murtagh,et al. Grading of construction aggregate through machine vision: Results and prospects , 2005, Comput. Ind..
[10] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1972 .
[11] Peter R. Winters,et al. Forecasting Sales by Exponentially Weighted Moving Averages , 1960 .
[12] Ian H. Witten,et al. Data mining - practical machine learning tools and techniques, Second Edition , 2005, The Morgan Kaufmann series in data management systems.
[13] Carl T. Haas,et al. Artificial Intelligence-Based Quality Control of Aggregate Production , 2002 .
[14] Jayson Tessier,et al. A machine vision approach to on-line estimation of run-of-mine ore composition on conveyor belts , 2007 .
[15] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[16] David Maxwell Chickering,et al. Learning Bayesian Networks: The Combination of Knowledge and Statistical Data , 1994, Machine Learning.
[17] Ah-Hwee Tan,et al. Modified ART 2A growing network capable of generating a fixed number of nodes , 2004, IEEE Transactions on Neural Networks.
[18] Stephen Grossberg,et al. The ART of adaptive pattern recognition by a self-organizing neural network , 1988, Computer.
[19] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[20] Andrew W. Moore,et al. Locally Weighted Learning for Control , 1997, Artificial Intelligence Review.
[21] Arlei Benedito Macedo. Recursos minerais não-metálicos , 1998 .
[22] Laurence T. Yang,et al. An On‐Line Approach for Classifying and Extracting Application Behavior on Linux , 2006 .
[23] Patrice Rivard,et al. INTERNAL DETERIORATION OF CONCRETE BY THE OXIDATION OF PYRRHOTITIC AGGREGATES , 2005 .
[24] Torsten Kuhlen,et al. Comparative analysis of fuzzy ART and ART-2A network clustering performance , 1998, IEEE Trans. Neural Networks.
[25] Nor Ashidi Mat Isa,et al. A novel aggregate classification technique using moment invariants and cascaded multilayered perceptron network , 2009 .
[26] Carl T. Haas,et al. Automated quality assessment of stone aggregates based on laser imaging and a neural network , 2004 .
[27] Rodrigo Fernandes de Mello,et al. A Self-Organizing Neural Network to Approach Novelty Detection , 2010, Intelligent Systems for Automated Learning and Adaptation.
[28] Rodrigo Fernandes de Mello,et al. A self-organizing neural network for detecting novelties , 2007, SAC '07.
[29] R. Ulusay,et al. Characterization of weathered acidic volcanic rocks and a weathering classification based on a rating system , 2007 .
[30] J. Ross Quinlan,et al. Improved Use of Continuous Attributes in C4.5 , 1996, J. Artif. Intell. Res..
[31] Ken Chen,et al. Aggregate image based texture identification using gray level co-occurrence probability and BP neural network , 2009 .
[32] C. Chandan,et al. Application of imaging techniques to geometry analysis of aggregate particles , 2004 .
[33] Hans-Peter Kriegel,et al. Multi-step density-based clustering , 2005, Knowledge and Information Systems.
[34] Ahmed F. Ghoniem,et al. K-means clustering for optimal partitioning and dynamic load balancing of parallel hierarchical N-body simulations , 2005 .
[35] George E. P. Box,et al. Time Series Analysis: Forecasting and Control , 1977 .
[36] F G Bartley,et al. Clay mineralogy of modified marginal aggregates , 2008 .
[37] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[38] Ross R. Large,et al. Altered volcanic rocks: a guide to description and interpretation , 2005 .
[39] Dayakar Penumadu,et al. APPLICATION OF FOURIER ANALYSIS TO DIGITAL IMAGING FOR PARTICLE SHAPE ANALYSIS , 2004 .
[40] Douglas H. Fisher,et al. Iterative Optimization and Simplification of Hierarchical Clusterings , 1996, J. Artif. Intell. Res..
[41] Ari Visa,et al. Classification method for colored natural textures using Gabor filtering , 2003, 12th International Conference on Image Analysis and Processing, 2003.Proceedings..
[42] Norbert S. Baer,et al. Saving our architectural heritage : the conservation of historic stone structures : report of the Dahlem Workshop on Saving our Architectural Heritage--Conservation of Historic Stone Structures, Berlin, March 3-8, 1996 , 1997 .
[43] E R Brown,et al. HOT MIX ASPHALT MATERIALS, MIXTURE DESIGN AND CONSTRUCTION. SECOND EDITION , 1996 .
[44] William C. Schefler,et al. Statistics: Concepts and Applications , 1988 .