✦ LIBER ✦

Asset portfolio optimization using support vector machines and real-coded genetic algorithm

✍ Scribed by Pankaj Gupta, Mukesh Kumar Mehlawat, Garima Mittal

Book ID: 113071135
Publisher: Springer US
Year: 2011
Tongue: English
Weight: 361 KB
Volume: 53
Category: Article
ISSN: 0925-5001
DOI: 10.1007/s10898-011-9692-3

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Target vector optimization of composite

Target vector optimization of composite box beam using real-coded genetic algorithm: a decomposition approach

✍ M. S. Murugan; S. Suresh; R. Ganguli; V. Mani 📂 Article 📅 2006 🏛 Springer-Verlag 🌐 English ⚖ 361 KB

Gene selection using genetic algorithm a

Gene selection using genetic algorithm and support vectors machines

✍ Shutao Li; Xixian Wu; Xiaoyan Hu 📂 Article 📅 2008 🏛 Springer 🌐 English ⚖ 322 KB

Evolutionary algorithm based optimizatio

Evolutionary algorithm based optimization for power quality disturbances classification using support vector machines

✍ Mihir Narayan Mohanty; Anurag Kumar; Aurobinda Routray; Prithviraj Kabisatpathy 📂 Article 📅 2010 🏛 Institute of Control, Robotics and Systems and The 🌐 English ⚖ 661 KB

Genetic algorithm optimization in drug d

Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM)

✍ Michael Fernandez; Julio Caballero; Leyden Fernandez; Akinori Sarai 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 627 KB

ChemInform Abstract: Genetic Algorithm O

ChemInform Abstract: Genetic Algorithm Optimization in Drug Design QSAR: Bayesian-Regularized Genetic Neural Networks (BRGNN) and Genetic Algorithm-Optimized Support Vectors Machines (GA-SVM)

✍ Michael Fernandez; Julio Caballero; Leyden Fernandez; Akinori Sarai 📂 Article 📅 2011 🏛 John Wiley and Sons ⚖ 18 KB 👁 1 views

FAULT DETECTION USING SUPPORT VECTOR MAC

FAULT DETECTION USING SUPPORT VECTOR MACHINES AND ARTIFICIAL NEURAL NETWORKS, AUGMENTED BY GENETIC ALGORITHMS

✍ L.B. JACK; A.K. NANDI 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 196 KB

Artificial neural networks (ANNs) have been used to detect faults in rotating machinery for a number of years, using statistical methods to preprocess the vibration signals as input features. ANNs have been shown to be highly successful in this type of application; in comparison, support vector mach