Time-Series Prediction and Applications. A Machine Intelligence Approach

Time-Series Prediction and Applications.

📁 Time-Series Prediction and Applications. A Machine Intelligence Approach

✍ Amit Konar, Diptendu Bhattacharya 📂 Library 📅 2017 🏛 Springer 🌐 English

This book presents machine learning and type-2 fuzzy sets for the prediction of time-series with a particular focus on business forecasting applications. It also proposes new uncertainty management techniques in an economic time-series using type-2 fuzzy sets for prediction of the time-series at a g

Time Series Analysis, Modeling and Appli

📁 Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective

✍ José Luis Aznarte, José Manuel Benítez (auth.), Witold Pedrycz, Shyi-Ming Chen ( 📂 Library 📅 2013 🏛 Springer-Verlag Berlin Heidelberg 🌐 English

<p><p>Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial market

Picture Interpretation: A Symbolic Appro

📁 Picture Interpretation: A Symbolic Approach (Series in Machine Perception and Artificial Intelligence, Vol 20)

✍ Sandy Dance, Terry Caelli, Zhi-Qiang Liu 📂 Library 📅 1995 🏛 World Scientific Publishing Company 🌐 English

Explores a method for symbolically intrepreting images based upon a parallel implementation of a network-of-frames suggested, for example, by Minksy (1975), to describe intelligent processing.

Artificial Intelligence: Approaches, Too

📁 Artificial Intelligence: Approaches, Tools, and Applications : Approaches, Tools and Applications

✍ Brent M. Gordon 📂 Library 📅 2011 🏛 Nova Science Publishers, Incorporated 🌐 English

Artificial Intelligence may be defined as a collection of several analytic tools that collectively attempt to imitate life and has matured to a set of analytic tools that facilitate solving problems which were previously difficult or impossible to solve. In this new book, the authors present topical

Practical Time Series Analysis: Predicti

📁 Practical Time Series Analysis: Prediction with Statistics and Machine Learning

✍ Aileen Nielsen 📂 Library 📅 2019 🏛 O’Reilly Media 🌐 English

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis

Practical Time Series Analysis: Predicti

📁 Practical Time Series Analysis: Prediction with Statistics and Machine Learning

✍ Aileen Nielsen 📂 Library 📅 2019 🏛 O’Reilly Media 🌐 English

Time series data analysis is increasingly important due to the massive production of such data through the internet of things, the digitalization of healthcare, and the rise of smart cities. As continuous monitoring and data collection become more common, the need for competent time series analysis