![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
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...
-
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...
-
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 ...
-
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...
-
Chapter and Conference Paper
Object Class Recognition Using SNoW with a Part Vocabulary
In this paper we present a novel method for object class recognition. A vocabulary of object parts is automatically constructed from sample images of the object class by AdaBoost. Images are then represented u...
-
Chapter and Conference Paper
Combination of Multiple Features in Support Vector Machine with Principal Component Analysis in Application for Alzheimer’s Disease Diagnosis
Alzheimer’s disease (AD) is a progressively neuro-degenerative disorder characterized by symptoms such as memory loss and cognitive degeneration. In the AD-related research, the volumetric analysis of hippocam...
-
Chapter and Conference Paper
Hybrid Self-Organizing Map and Neural Network Clustering Analysis for Technology Professionals Turnover Rate Forecasting
This research applies clustering analysis technology of data mining to predict trend of the Technology Professionals turnover rate, including SOM (Self-Organizing Map) combined with Artificial Neural Network c...
-
Chapter and Conference Paper
An Image-Aided Diagnosis System for Dementia Classification Based on Multiple Features and Self-Organizing Map
Mild cognitive impairment (MCI) is considered as a transitional stage between normal aging and dementia. MCI has a high risk to convert into Alzheimer’s disease (AD). In the related research, the volumetric an...
-
Chapter and Conference Paper
Examining Student Ability Using KIDMAP Fit Statistics of Rasch Analysis in Excel
It is very common that examinees have identical test scores. In such a case, some subjective procedures are often used to determine admission priority for those examinees with identical scores. This study prop...
-
Chapter and Conference Paper
Plant Classification Based on Multilinear Independent Component Analysis
Plant classification is very important and necessary with respect to agricultural informization, ecological protection and plant automatic classification system. In this paper, we present a multilinear indepen...