Artificial neural network classifier predicts neuroblastoma patients’ outcome
نویسندگان
چکیده
منابع مشابه
scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
Algebraic inversion of an artificial neural network classifier
Artificial neural networks are, by their definition, non-linear functions. Typically, this means that it is impossible to find a closed-form solution for the inverse function of a neural network. This paper presents a special form of neural network classifier that allows for its algebraic inversion in order to find the boundary between classes. The control of the fuel-air ratio in a spark ignit...
متن کاملArtificial Neural Network Based Fault Classifier for Transmission Line Protection
This paper presents a method for classification of transmission line faults based on Artificial Neural Network (ANN).Samples of prefault and postfault three phase currents taken at one end of transmission line are used as ANN inputs. Simulation studies have been carried out extensively on two power system models: one in which the transmission line is fed from one end and another, in which the t...
متن کاملModeling Spammer Behavior: Artificial Neural Network vs. Naïve Bayesian Classifier
The exponential growth of spam emails in recent years is a fact of life. Internet subscribers world-wide are unwittingly paying an estimated €10 billion a year in connection costs just to receive "junk" emails, according to a study undertaken for the European Commission. Though there is no universal definition of spam, unwanted and unsolicited commercial email as a mass mailing to a large numbe...
متن کاملOff-line Handwritten Signature Verification using Artificial Neural Network Classifier
Handwritten signatures are used for major human identification procedures including money transfer dealings amongst other vitally important fields. Signatures can be perceived as a behavioral biometric and this paper evaluates the performance of an Error Back Propagation (EBP) Artificial Neural Network (ANN) for authenticating these. The work done has provided encouraging results and has re-con...
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: BMC Bioinformatics
سال: 2016
ISSN: 1471-2105
DOI: 10.1186/s12859-016-1194-3