A subjective job scheduler based on a backpropagation neural network
نویسندگان
چکیده
منابع مشابه
A Subjective Scheduler Based on Backpropagation Neural Network for Formulating a Real-life Scheduling Situation
This paper presents a subjective job scheduler based on a 3-layer Backpropagation Neural Network (BPNN) and a greedy alignment procedure in order formulates a real-life situation. The BPNN estimates critical values of jobs based on the given subjective criteria. The scheduler is formulated in such a way that, at each time period, the most critical job is selected from the job queue and is trans...
متن کاملA neural network job-shop scheduler
This paper focuses on the development of a neural network (NN) scheduler for scheduling job-shops. In this hybrid intelligent system, genetic algorithms (GA) are used to generate optimal schedules to a known benchmark problem. In each optimal solution, every individually scheduled operation of a job is treated as a decision which contains knowledge. Each decision is modeled as a function of a s...
متن کاملSpectral Estimation of Printed Colors Using a Scanner, Conventional Color Filters and applying backpropagation Neural Network
Reconstruction the spectral data of color samples using conventional color devices such as a digital camera or scanner is always of interest. Nowadays, multispectral imaging has introduced a feasible method to estimate the spectral reflectance of the images utilizing more than three-channel imaging. The goal of this study is to spectrally characterize a color scanner using a set of conventional...
متن کاملJob Board - A Web Based Scheduler
Contractual jobs involve short term work performed one at a time without any long term binding between the workers and employers. For example, a substitute teacher may work for a day or two in a school district. Searching for such contractual jobs by the workers and finding such contractual workers by the employers is a daunting task. It is also preferable to store the information separately by...
متن کاملA Neural Network Based Character Recognition System Using Double Backpropagation
Proposes a neural network based invariant character recognition system using double backpropagation network. The model consists of two parts. The first is a preprocessor which is intended to produce a translation, rotation and scale invariant representation of the input pattern. The second is a neural net classifier. The outputs produced by the preprocessor at the first stage are classified by ...
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: Human-centric Computing and Information Sciences
سال: 2013
ISSN: 2192-1962
DOI: 10.1186/2192-1962-3-17