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» A New Iterative Method for Solving Initial Value Problems
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OL
2011
332views Neural Networks» more  OL 2011»
13 years 3 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
TNN
2008
88views more  TNN 2008»
13 years 8 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
KBSE
2002
IEEE
14 years 1 months ago
Generating Test Data for Functions with Pointer Inputs
Generating test inputs for a path in a function with integer and real parameters is an important but difficult problem. The problem becomes more difficult when pointers are pass...
Srinivas Visvanathan, Neelam Gupta
JUCS
2008
153views more  JUCS 2008»
13 years 8 months ago
Bus Network Optimization with a Time-Dependent Hybrid Algorithm
: This paper describes a new hybrid technique that combines a Greedy Randomized Adaptive Search Procedure (GRASP) and a genetic algorithm with simulation features in order to solve...
Ana C. Olivera, Mariano Frutos, Jessica Andrea Car...
JAIR
2002
163views more  JAIR 2002»
13 years 8 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu