✦ LIBER ✦

Intracranial Pressure Processing with Artificial Neural Networks: Prediction of ICP Trends

✍ Scribed by M. Swiercz; Z. Mariak; J. Krejza; J. Lewko; P. Szydlik

Publisher: Springer Vienna
Year: 2000
Tongue: English
Weight: 276 KB
Volume: 142
Category: Article
ISSN: 0001-6268
DOI: 10.1007/s007010050449

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Intracranial Pressure Processing with Ar

Intracranial Pressure Processing with Artificial Neural Networks: Classification of Signal Properties

✍ Z. Mariak; M. Swiercz; J. Krejza; J. Lewko; T. Lyson 📂 Article 📅 2000 🏛 Springer Vienna 🌐 English ⚖ 155 KB

Modeling and prediction of chaotic syste

Modeling and prediction of chaotic systems with artificial neural networks

✍ Jonathan W. Woolley; P. K. Agarwal; John Baker 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 434 KB 👁 1 views

Optimization of high-pressure die-castin

Optimization of high-pressure die-casting process parameters using artificial neural network

✍ Jiang Zheng; Qudong Wang; Peng Zhao; Congbo Wu 📂 Article 📅 2009 🏛 Springer 🌐 English ⚖ 258 KB

Prediction of survival in patients with

Prediction of survival in patients with esophageal carcinoma using artificial neural networks

✍ Fumiaki Sato; Yutaka Shimada; Florin M. Selaru; David Shibata; Masato Maeda; Go 📂 Article 📅 2005 🏛 John Wiley and Sons 🌐 English ⚖ 622 KB

Predictions for Start-Up Processes of Re

Predictions for Start-Up Processes of Reactive Distillation Column via Artificial Neural Network

✍ H.-X. Wu; Z.-G. Tang; H. Hu; C. Quan; H.-H. Song; S.-Y. Li 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 95 KB 👁 2 views

Comparison of Artificial Neural Networks

Comparison of Artificial Neural Networks with Partial Least Squares Regression for Simultaneous Determinations by ICP-AES

✍ Mohamad KHAYATZADEH MAHANI; Marzieh CHALOOSI; Mohamad GHANADI MARAGHEH; Ali Reza 📂 Article 📅 2007 🏛 John Wiley and Sons 🌐 English ⚖ 68 KB 👁 1 views

## Abstract Simultaneous determination of several elements (U, Ta, Mn, Zr and W) with inductively coupled plasma atomic emission spectrometry (ICP‐AES) in the presence of spectral interference was performed using chemometrics methods. True comparison between artificial neural network (ANN) and part