… inverse calculation procedure, which is based on a combined optimization strategy of both
genetic algorithms and the gradient descent method. The optimization procedure matches the …

… Though, reliable and powerful optimization methods have … Levenberg–Marquardt algorithm
is used for training where the … a combination of gradient descent forms and Newton method. …

… commonly known ones are variations of gradient descent. … presented in this paper succeeds
in finding the correct subset in … of gradient-based optimization algorithms, we combine the …

… during optimization by genetic algorithms form a basis upon which … algorithm, correction of
weights is performed according to a simple steepest descent gradient minimization procedure…

… its inexact gradient cannot match the exact gradient calculations … , called the limited evaluation
evolutionary algorithm (LEEA), … runs for each algorithm/domain combination. Some results …

… Each initial weight of the gradient descent-based BPNN was … , a novel iteration optimization
approach combining BPNN with … of prediction accuracy due to fewer training patterns used in …

… Sophisticated techniques for gradient descent (of which BP … Conjugate gradient (CG)
optimization was used in these experiments … combining two popular classes of adaptive …

… The publisher makes no representation, express or implied, with regard to the accuracy of
the … GA is a class of general purpose search methods combining elements of directed and …

… when trained with true gradient descent learning techniques [28]. … of genetic algorithms
typically assume that the optimization … then use a genetic algorithm to discover some combination …

… : it is often impossible to reach accurately and reliably the global … methods (gradient descent,
Quasi-Newton methods, simplex … capabilities, parallelism and combination properties of GA, …