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Planning Support Systems and Smart Cities
Buku yang disunting ini diterbitkan dalam rangka Konferensi Computers in Urban Planning and Urban Management (CUPUM) 2015, yang diselenggarakan di Boston, Massachusetts, pada tanggal 7-10 Juli 2015. Selama lebih dari 20 tahun, CUPUM telah menjadi salah satu konferensi internasional terkemuka untuk pertukaran ide mengenai penggunaan teknologi komputer dalam mengatasi berbagai masalah ekonomi, so…
- Edition
- -
- ISBN/ISSN
- 978-3-319-18368-8
- Collation
- -
- Series Title
- Lecture Notes in Geoinformation and Cartography (LNGC)
- Call Number
- 006.32
Stability and Synchronization Control of Stochastic Neural Networks
This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control. The book will be of interest to university researchers, graduate students in control science and…
- Edition
- 1
- ISBN/ISSN
- 978-3-662-47833-2
- Collation
- -
- Series Title
- XVI, 357, 2 b/w illustrations, 80 illustrations in colour
- Call Number
- -
Stability and Synchronization Control of Stochastic Neural Networks
The series “Studies in Systems, Decision and Control” (SSDC) covers both new developments and advances, as well as the state of the art, in the various areas of broadly perceived systems, decision making and control- quickly, up to date and with a high quality. The intent is to cover the theory, applications, and perspectives on the state of the art and future developments relevant to s…
- Edition
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- ISBN/ISSN
- 978-3-662-47833-2
- Collation
- -
- Series Title
- -
- Call Number
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Elements of Causal Inference
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining th…
- Edition
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- ISBN/ISSN
- 9780262037310
- Collation
- -
- Series Title
- -
- Call Number
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