University entry selection framework using rule-based and back-propagation

QR Code

University entry selection framework using rule-based and back-propagation

Processing thousands of applications can be a challenging task, especially when the applicant does not consider the university requirements and their qualification. The selection officer will have to check the program requirements and calculate the merit score of the applicants. This process is base...

Full description

Bibliographic Details
Main Author:	Maharani, Sitti Syarah
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Back propagation (Artificial intelligence) Education, Higher
Online Access:	http://psasir.upm.edu.my/id/eprint/65284/ http://psasir.upm.edu.my/id/eprint/65284/1/FSKTM%202015%2023.pdf

Similar Items

Higher Order Centralised Scale-Invariants for Unconstrained Isolated Handwritten Digits
by: Shamsuddin, Siti Mariyam
Published: (2000)

Alertness and perception gamification in education toward increase student focus / Muhammad Izzat Adnan
by: Adnan, Muhammad Izzat
Published: (2019)

Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli
by: Zulkifli, Nur Izzati
Published: (2012)

Zakat allocation system using fuzzy logic / Siti Farah Nasehah Mukhlis
by: Siti Farah Nasehah, Mukhlis
Published: (2012)

Traffic congestion simulation system using rule based / Muhammad Azrul Naim Ramli
by: Ramli, Muhammad Azrul Naim
Published: (2020)

Rule-Based system for skin type Self-Assessment (RBSA) / Norfida Abu Bakar
by: Norfida, Abu Bakar
Published: (2010)

Neural Network Preference Learning Approaches For Improving Agent-Based Meeting Scheduling Problems
by: Tang, En Lai
Published: (2007)

Rainfall-induced landslide prediction using backpropagation neural network / Noor Munirah Md Saad
by: Md Saad, Noor Munirah
Published: (2006)

Invigilation timetabling system using genetic algorithm (GA) / Shahirah Mohamed Hatim
by: Shahirah, Mohamed Hatim
Published: (2011)

Parallel implementation on improved error signal of backpropagation algorithm
by: Mohd Aris, Teh Noranis
Published: (2001)

An investigation of back-propagation neural network on university selection
by: Maharani, Sitti Syarah, et al.
Published: (2015)

Toward Accountable and Explainable Artificial Intelligence Part Two: The Framework Implementation
by: Vice, Jordan, et al.
Published: (2022)

Artificial intelligence-based tool condition monitoring in robotic incremental sheet forming through vibration, tool wear and surface roughness analyses
by: Ismail, Nazarul Abidin
Published: (2021)

Oil palm female inflorescences anthesis stages identification using selected emissivities through thermal imaging and Machine Learning
by: Yousefidashliboroun, Mamehgol
Published: (2022)

Toward Accountable and Explainable Artificial Intelligence Part one: Theory and Examples
by: Khan, Masood, et al.
Published: (2022)

Genetic variation and clonal propagation of superior genotypes of selected Acacia species
by: Muniandi, Sures Kumar
Published: (2015)

How can SMEs adopt AI for accounting processes in Singapore despite challenges like cost or technical expertise?
by: Leong, Pui Yie
Published: (2024)

Explain the world --- towards leveraging causality in fuzzy rule based systems
by: Zhang, Te
Published: (2025)

Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome
by: Salari, Nader
Published: (2014)

Geospatial AI-based approach to assess the spatiotemporal suitability of onshore wind-solar farms in Iraq
by: Sachit, Mourtadha Sarhan Almushattat
Published: (2023)

UNIVERSITI SAINS MALAYSIA Second Semester Examination 2011/2012 Academic Session June 2012 EPE 401/3 – Artificial Intelligence in Manufacturing [Kecerdikan Rekaan Dalam Pembuatan] Duration: 2 hours [Masa: 2 jam]
by: Mekanik, Pusat Pengajian Kejuruteraan
Published: (2012)

A distributed model predictive control strategy for back-to-back converters
by: Tarisciotti, Luca, et al.
Published: (2016)

Importance of tissue culture in propagation of orchids - a review.
by: Alang, Zaleha Christine
Published: (1975)

AI and Anthropology - A Path away from Disenchantment and towards Re-enchantment
by: Collins, Harry
Published: (2022)

Generative AI Glitches: The Artificial Everything
by: Srdarov, Suzanne, et al.
Published: (2024)

CPP 302 - CSE 401 - ARTIFICIAL INTELLIGENCE FEB. 1999.
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1999)

Radio propagation modelling in caves environment
by: Soo, Qi Ping
Published: (2022)

Development of e-nose herb recognition system based on artificial intelligence techniques
by: Mohamad Yusof, Umi Kalsom
Published: (2016)

Agarwood chip grading based on color using image processing and artificialintelligence methods
by: Mad Amin, Mohamad Razi
Published: (2014)

Compression Test on Cold-Formed Steel Built-up Back-to-Back Channels Stub Columns
by: Ting, Chui Huon Tina, et al.
Published: (2011)

Interconnected Microgrids via Back-to-Back Converters for Dynamic Frequency Support
by: Susanto, Julius, et al.
Published: (2014)

Determinants of commercial mortgage-backed securities credit ratings: Australian evidence
by: Chikolwa, B., et al.
Published: (2008)

The effectiveness of back belts in reducing the incidence, duration and cost of low back pain claims associated with manual handling injury in a retail hardware chain
by: Merdith, Nick, et al.
Published: (2011)

Mass clonal propagation of selected bamboo genotype for construction purposes in Malaysia
by: Lee, Pay Chiann
Published: (2020)

Design and evaluation of a novel soft active-vest for human back assistance
by: Al-Fadhli, Mohammed
Published: (2017)

A new approach for instance-based schema matching
by: Mahdi, Osamah Abdul Sattar
Published: (2014)

Path Loss Prediction Model for Mobile Radio Wave Propagation into a Multi-Floored Building
by: Ramly, Zainal Hafiz
Published: (2007)

The effect of varying kilovoltage (kVp) and tube current (mAs) on the image quality and dose of CTA head phantom / Sity Noor Ayseah Dzulkafli
by: Dzulkafli, Sity Noor Ayseah
Published: (2015)

Using Artificial Neural Networks to estimate sea level in continental and island coastal environments
by: Makarynskyy, Oleg, et al.
Published: (2005)

CSP402 - KECERDASAN BUATAN - APRIL 1987.
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1987)