Search Results - (( developing agent prediction algorithm ) OR ( java implication based algorithm ))
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Multi-agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…Kuala Lumpur Stock Exchange (KLSE) was selected as the targeted stock market. Four types of agents were developed, including the Web Mining Agent (WMA), the Wealth Forecasting Agent (WFA), the Strategy Agent (SA), and the Wealth Planning Agent (WPA). …”
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Multi agent and artificial neural networks prediction framework development for stock investment strategy
Published 2016“…Kuala Lumpur Stock Exchange (KLSE) was selected as the targeted stock market. Four types of agents were developed, including the Web Mining Agent (WMA), the Wealth Forecasting Agent (WFA), the Strategy Agent (SA), and the Wealth Planning Agent (WPA). …”
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3
Individual And Ensemble Pattern Classification Models Using Enhanced Fuzzy Min-Max Neural Networks
Published 2014“…Firstly is by enhancing the learning algorithm of a neural-fuzzy network; and secondly by devising an ensemble model to combine the predictions from multiple neural-fuzzy networks using an agent-based framework. …”
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4
Enhanced gravitational search algorithm for nano-process parameter optimization problem / Norlina Mohd Sabri
Published 2020“…Another possible work is to explore the images of the nano structures and develop the predictions on the morphology and topology of the structure. …”
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Intelligent agent for electronic commerce using neural network approach / Yap Hui Sun
Published 2001“…Chapter V - System Implementation and Testing, describing the system implementation of the development environment, development of webs, Prediction Agent and ActiveX component. …”
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6
Artificial neural network modeling studies to predict the yield of enzymatic synthesis of betulinic acid ester
Published 2010“…A multilayer feed-forward neural network trained with an error back-propagation algorithm was incorporated for developing a predictive model. …”
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A machine learning approach to tourism recommendations system
Published 2025“…This project aims to develop a tourism attractions recommendation system by integrating machine learning recommendation algorithms. …”
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Final Year Project / Dissertation / Thesis -
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Adaptive genetic algorithm to improve negotiation process by agents e-commerce
Published 2011“…The proposed negotiation algorithm employs Bayesian learning and similarity functions in order to predict opponent agent’s type and preferences. …”
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10
Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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11
Agent-Based Model of Virtual Community Cohesion (S/O: 13443)
Published 2021“…The formal specifications (differential equations) equations form the basis of algorithm development, which preceded the development of a virtual community cohesion prediction simulator. …”
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Monograph -
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Developing an emergent theoretical framework for artificial pseudo-gene communication pathway in DNA computing
Published 2012“…An emergent theoretical framework for artificial pseudo-genes using cooperative multi-agents with gene motif binary switching algorithm is developed. …”
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Proceeding Paper -
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Extreme Learning Machine neural networks for multi-agent system in power generation
Published 2023“…It contains two layers of ELMs, i.e., individual agent layer and parent agent layer. Several activation functions using benchmark datasets and real-world applications, i.e., satellite image, image segmentation, fault diagnosis in power generation (including circulating water systems as well as GAST governor) were used to test the ELM-MAS developed. …”
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Box-jenkins and genetic algorithm hybrid model for electricity forecasting system
Published 2005“…Energy is considered a prime agent in the generation of wealth and also a significant factor in economic development. …”
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15
A study on component-based technology for development of complex bioinformatics software
Published 2004“…Othman develop a predictive algorithm named R-HCSVM to predict protein local structure that works with following steps. …”
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Monograph -
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Multivariate Optimization of Biosynthesis of Triethanolamine-Based Esterquat Cationic Surfactant Using Statistical Algorithms
Published 2011“…The next objective of the current study was to compare the performance of aforementioned algorithms with regard to predicting ability. The investigation of TEA-based esterquat cationic surfactant synthesis was started in a 50 ml scale. …”
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18
Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection
Published 2015“…The second agent is a reliability evaluation agent that uses a recursive algorithm to predict the suitability generator based on the frequency and duration reliability indices in each state while the third agent is the storage and transfer of data between the other two agents. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Solubility enhancement of decitabine as anticancer drug via green chemistry solvent: Novel computational prediction and optimization
Published 2022“…Therefore, achieving more knowledge about the development of promising numerical/computational methods of solubility prediction to validate the experimental data may be advantageous for increasing the quality of research and therefore, the efficacy of novel drugs. …”
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