Scaled Conjugate Gradient Backpropagation Algorithm for Selection of Industrial Robots

A scaled conjugate gradient algorithm for fast supervised learning

A supervised learning algorithm (Scaled Conjugate Gradient, SCG) with superlinear convergence rate is introduced. The algorithm is based upon a class of optimization techniques well known in numerical analysis as the Conjugate Gradient Methods. SCG uses second order information from the neural network but requires only O(N) memory usage, where N is the number of weights in the network. The perf...

Face expression recognition using Scaled - conjugate gradient Back - Propagation algorithm

Since decades, face recognition has become an active area of research in computer vision and psychology. The rapid developments of face recognition are being fueled by numerous advances in computer vision. An ongoing challenge in this field is to design an effective human-computer interaction (HCII). In this paper we will study the latest work done that has been done in the field of facial expr...

An Efficient Conjugate Gradient Algorithm for Unconstrained Optimization Problems

In this paper, an efficient conjugate gradient method for unconstrained optimization is introduced. Parameters of the method are obtained by solving an optimization problem, and using a variant of the modified secant condition. The new conjugate gradient parameter benefits from function information as well as gradient information in each iteration. The proposed method has global convergence und...

A new hybrid conjugate gradient algorithm for unconstrained optimization

In this paper, a new hybrid conjugate gradient algorithm is proposed for solving unconstrained optimization problems. This new method can generate sufficient descent directions unrelated to any line search. Moreover, the global convergence of the proposed method is proved under the Wolfe line search. Numerical experiments are also presented to show the efficiency of the proposed algorithm, espe...

Scaled Conjugate Gradient Learning for Quaternion-Valued Neural Networks