Automating Data-Driven Modelling of Dynamical Systems : An Evolutionary Computation Approach

Dynamic Mode Decomposition: Data-Driven

📁 Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems

✍ J. Nathan Kutz, Steven L. Brunton, Bingni W. Brunton, Joshua L. Proctor 📂 Library 📅 2016 🏛 SIAM-Society for Industrial and Applied Mathematic 🌐 English

Data-driven dynamical systems is a burgeoning field—it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems

Automating the Design of Data Mining Alg

📁 Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach

✍ Gisele L. Pappa, Alex Freitas (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, gover

Automating the Design of Data Mining Alg

📁 Automating the Design of Data Mining Algorithms: An Evolutionary Computation Approach

✍ Gisele L. Pappa, Alex Freitas (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

Data mining is a very active research area with many successful real-world app- cations. It consists of a set of concepts and methods used to extract interesting or useful knowledge (or patterns) from real-world datasets, providing valuable support for decision making in industry, business, gover

Dynamics of Hierarchical Systems: An Evo

📁 Dynamics of Hierarchical Systems: An Evolutionary Approach

✍ Professor Dr. John S. Nicolis (auth.) 📂 Library 📅 1986 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

The main aim of these lectures is to tri gger the interest of the restless under graduate student of physical, mathematical, engineering, or biological sciences in the new and exciting multidisciplinary area of the evolution of "large-scale" dynamical systems. This text grew out of a synthesis o

Data-Driven Modeling & Scientific Comput

📁 Data-Driven Modeling & Scientific Computation: Methods for Complex Systems & Big Data

✍ J. Nathan Kutz 📂 Library 📅 2013 🏛 Oxford University Press 🌐 English

The burgeoning field of data analysis is expanding at an incredible pace due to the proliferation of data collection in almost every area of science. The enormous data sets now routinely encountered in the sciences provide an incentive to develop mathematical techniques and computational algorithms

Data-Driven Evolutionary Modeling in Mat

📁 Data-Driven Evolutionary Modeling in Materials Technology

✍ Nirupam Chakraborti 📂 Library 📅 2022 🏛 CRC Press 🌐 English

Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials scie