Nemokamas pristatymas nuo 29€

  • check 10 + milijonai knygų
  • check Naujienos (kiekvieną dieną)
  • check 1 + mln. klientų mus pasitiki
  • check Geros kainos % Nuolaidos
  • check Nemokamas pristatymas nuo 29 eur

Applied Genetic Programming and Machine Learning - Yoshihiko Hasegawa,Hitoshi Iba,Topon Kumar Paul

Anglų
2009-08-26
340,61 € 454,15 €

-25% su kodu BOOKS

Minkšti viršeliai Kieti viršeliai 454,15 €
Turime sandėlyje pas mūsų tiekėją

Pristatymas per 17-23 d.d.

30 dienų grąžinimo politika

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications.Reflecting rapi ... Visas aprašymas

Jums taip pat gali patikti

Aprašymas

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications.Reflecting rapidly developing concepts and emerging paradigms, this book outlines how to use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for addressing tasks from areas such as chaotic time-series prediction, system identification, financial forecasting, classification, and data mining.The book provides a starting point for the research of extended GP frameworks with the integration of several machine learning schemes. Drawing on empirical studies taken from fields such as system identification, finanical engineering, and bio-informatics, it demonstrates how the proposed methodology can be useful in practical inductive problem solving.

Daugiau informacijos

Autorius Yoshihiko Hasegawa, Hitoshi Iba, Topon Kumar Paul
Leidėjas CRC Press
Išleidimo metai 2009
Viršelio tipas Kieti viršeliai
EAN 9781439803691
Parašykite savo atsiliepimą
Jūs peržiūrėjote: Applied Genetic Programming and Machine Learning
Jūsų įvertinimas:

Goodreads Atsiliepimai

340,61 € 454,15 €