7 Result(s)
within
**n-Wen Wang
English
Algorithm Analysis and Problem Complexity
Image Processing and Computer Vision
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Chapter and Conference Paper
New Operators for Faster Convergence and Better Solution Quality in Modified Genetic Algorithm
The aim of this paper is to study two new forms of genetic operators: duplication and fabrication. Duplication is a reproduce procedure that will reproduce the best fit chromosome from the elite base. The intr...
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Chapter and Conference Paper
Evolving Case-Based Reasoning with Genetic Algorithm in Wholesaler’s Returning Book Forecasting
In this paper, a hybrid system is developed by evolving Case-Based Reasoning (CBR) with Genetic Algorithm (GA) for reverse sales forecasting of returning books. CBR systems have been successfully applied in se...
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Chapter and Conference Paper
Fuzzy Back-Propagation Network for PCB Sales Forecasting
Reliable prediction of sales can improve the quality of business strategy. In this research, fuzzy logic and artificial neural network are integrated into the fuzzy back-propagation network (FBPN) for printed ...
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Chapter and Conference Paper
Mining Sequential Patterns in Large Datasets
A novel algorithm FFSPAN (Fast Frequent Sequential Pattern mining algorithm) is proposed in this paper. FFSPAN mines all the frequent sequential patterns in large datasets, and solves the problem of searching fre...
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Chapter and Conference Paper
A Shilling Attack Detection Method Based on SVM and Target Item Analysis in Collaborative Filtering Recommender Systems
The open nature of recommender systems makes them vulnerable to shilling attacks. Biased ratings are introduced in order to affect recommendations, have been shown to cause great harm to collaborative filterin...
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Chapter and Conference Paper
Personalized Recommendation System Based on Support Vector Machine and Particle Swarm Optimization
Personalized recommendation system (PRS) is an effective tool to automatically extract meaningful information from the big data of the users. Collaborative filtering is one of the most widely used personalized...
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Chapter and Conference Paper
Segmenting Crop Disease Leaf Image by Modified Fully-Convolutional Networks
Crop disease leaf image segmentation is an important and challenging step, because the disease leaf image and corresponding lesions are often complex, various, and variant, and the segmenting results directly ...
