Predicting the future : completing models of observed complex systems

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Electronic Resource

Predicting the future : completing models of observed complex systems

Abarbanel, Henry - Nama Orang;

Through the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model’s consistency with observations is explored.

Ketersediaan

Perpustakaan Pusat E1610

E1610

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Informasi Detail

Judul Seri: Understanding Complex Systems (UCS)
No. Panggil: E1610
Penerbit: New York : Springer., 2013
Deskripsi Fisik: xvi, 238 hlm. : il. warna.
Bahasa: English
ISBN/ISSN: 9781461472186
Klasifikasi: NONE
Tipe Isi: text
Tipe Media: computer
Tipe Pembawa: online resource
Edisi: -
Subjek: Integral Lintasan : Fisika
Perancangan Eksperimen
Metode Observasi : Penelitian
Integral Lintasan : Evaluasi
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Henry Abarbanel

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Predicting the Future : Completing Models of Observed Complex Systems
https://doi.org/10.1007/978-1-4614-7218-6

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