Recurrent Neural Network based Prediction of Software Effort
نویسندگان
چکیده
منابع مشابه
A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort
Software project management has always faced challenges that have often had a great impact on the outcome of projects in future. For this, Managers of software projects always seek solutions against challenges. The implementation of unguaranteed approaches or mere personal experiences by managers does not necessarily suffice for solving the problems. Therefore, the management area of software p...
متن کاملNeural Network based Software Effort Estimation: A Survey
Neural Network based Software Effort Estimation: A Survey Muhammad Waseem Khan Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt Email: [email protected] Imran Qureshi Department of Computer Sciences, COMSATS Institute of Information Technology, Wah Cantt Email: [email protected] ---------------------------------------------------------------------...
متن کاملNeural Network Based Protection of Software Defined Network Controller against Distributed Denial of Service Attacks
Software Defined Network (SDN) is a new architecture for network management and its main concept is centralizing network management in the network control level that has an overview of the network and determines the forwarding rules for switches and routers (the data level). Although this centralized control is the main advantage of SDN, it is also a single point of failure. If this main contro...
متن کاملRecurrent Neural Network Based BER Prediction for OFDMA Channel
The prediction of Bit Error Rate (BER) in OFDMA Channel (IEEE 802.16e Mobile WirlessMAN) network is investigated here. The state of the channel is estimated on symbol by symbol basis on a realistic fading environment. The state of a channel is modeled as nonlinear and temporal system. Neural network method is the best system to predict and analyze the behaviors of such nonlinear and temporal sy...
متن کاملNanofluid Thermal Conductivity Prediction Model Based on Artificial Neural Network
Heat transfer fluids have inherently low thermal conductivity that greatly limits the heat exchange efficiency. While the effectiveness of extending surfaces and redesigning heat exchange equipments to increase the heat transfer rate has reached a limit, many research activities have been carried out attempting to improve the thermal transport properties of the fluids by adding more thermally c...
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: International Journal of Computer Applications
سال: 2017
ISSN: 0975-8887
DOI: 10.5120/ijca2017915664