Physical Network Models
نویسندگان
چکیده
منابع مشابه
Physical Network Models
We develop a new framework for inferring models of transcriptional regulation. The models, which we call physical network models, are annotated molecular interaction graphs. The attributes in the model correspond to verifiable properties of the underlying biological system such as the existence of protein-protein and protein-DNA interactions, the directionality of signal transduction in protein...
متن کاملImproving neural network models of physical systems through dimensional analysis
The paper presents a technique for generating concise neural network models of physical systems. The neural network models are generated through a two-stage process. The first stage uses information embedded in the dimensions or units in which the data is represented. Dimensional analysis techniques are used initially to make this information explicit, and a limited search in the neural network...
متن کاملMulti-antenna physical layer models for wireless network design
To my parents and brother ACKNOWLEDGEMENTS I am thankful to my advisor, Prof. Mary Ann Ingram, for providing me an environment to learn and grow not only technically but also as an individual with better discipline, more patience, and perseverance. Her support and encouragement motivated me to continue my research even when I moved out of Georgia Tech and started working before finishing my Ph....
متن کاملPhysical Layer Network Coding
A main distinguishing feature of a wireless network compared with a wired network is its broadcast nature, in which the signal transmitted by a node may reach several other nodes, and a node may receive signals from several other nodes simultaneously. Rather than a blessing, this feature is treated more as an interference-inducing nuisance in most wireless networks today (e.g., IEEE 802.11). Th...
متن کاملDaily Pan Evaporation Estimation Using Artificial Neural Network-based Models
Accurate estimation of evaporation is important for design, planning and operation of water systems. In arid zones where water resources are scarce, the estimation of this loss becomes more interesting in the planning and management of irrigation practices. This paper investigates the ability of artificial neural networks (ANNs) technique to improve the accuracy of daily evaporation estimation....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computational Biology
سال: 2004
ISSN: 1066-5277,1557-8666
DOI: 10.1089/1066527041410382