Kontakt
Ako nakupovať
Doručenie
Nákupný poradca
Grammar-Based Feature Generation for Time-Series Prediction
Angličtina
125 b
Až 30 dní na vrátenie tovaru
Zákazníci tiež kúpili
/
Noty
14.04
€
/
Brožovaná
43.16
€
/
Brožovaná
11.51
€
This book proposes a novel approach for time-series prediction using machine learning techniques with automatic feature generation. Application of machine learning techniques to predict time-series continues to attract considerable attention due to the difficulty of the prediction problems compounded by the non-linear and non-stationary nature of the real world time-series. The performance of machine learning techniques, among other things, depends on suitable engineering of features. This book proposes a systematic way for generating suitable features using context-free grammar. A number of feature selection criteria are investigated and a hybrid feature generation and selection algorithm using grammatical evolution is proposed. The book contains graphical illustrations to explain the feature generation process. The proposed approaches are demonstrated by predicting the closing price of major stock market indices, peak electricity load and net hourly foreign exchange client trade volume. The proposed method can be applied to a wide range of machine learning architectures and applications to represent complex feature dependencies explicitly when machine learning cannot achieve this by itself. Industrial applications can use the proposed technique to improve their predictions.
Informácie o knihe
Angličtina
Kategórie
Darujte túto knihu ešte dnes
Je to jednoduché
1 Pridajte knihu do košíka a vyberte možnosť doručiť ako darček 2 Obratom Vám zašleme poukaz 3 Knihu zašleme na adresu obdarovanéhoMohlo by vás tiež zaujímať
/
Brožovaná
167.20
€
/
Brožovaná
109.27
€
/
Brožovaná
14.95
€
/
Brožovaná
30.01
€
/
Brožovaná
21.93
€
Ahoj! Som Libroamiko, tvoj knižný radca.
Ako ti môžem pomôcť?