Caption: Figure 2: (a) Feed forward neural network
. (b) Architecture of an artificial neuron.
Reddy and Raju used single layer feed forward neural network
with back propagation learning algorithm and resilient back propagation algorithm for predicting the software development effort accurately .
Two-layer feed forward neural network
with LM Back-Propagation training algorithm was used for approximation of measured CO/lambda dependence.
It becomes clear that a feed forward neural network
can replace the linear function [F.sup.L] in equation (7) by an arbitrary non-linear function [F.sup.NN] as in equation (8) (K.G.
Their wavenet consists of a single layer feed forward neural network
with hidden nodes of adaptive wavelet functions followed by an infinite impulse response (IIR) recurrent structure.
In a feed forward neural network
with BP algorithm, a set of input data is introduced to the network and the outputs are estimated by back propagation algorithm.
While the first application of ANNs into financial forecasting perceptron's network the simplest feed forward neural network
was used , nowadays it is mainly RBF network  that is being used for this as they showed to be better approximators than the perceptron type networks .
The input configuration is tested by Feed forward neural network
with number of hidden neurons i.e., 1-30.
According to Kolmogorov theorem, as to any given L2 type continuous function f: [0, 1] n [right arrow] Rm, f can be accurately realized by three-layer feed forward neural network
, thus it can only consider the weighted value and nodes of evolving network while not affecting evolution results.
Chien, "Feed forward neural network
and feedback linearization control design of BILSAT-1 satellite system," International Journal of Innovative Computig, Information and Control, vol.
They used back-propagation feed forward neural network
to predict hardness and grain size.
It occurs in most of the methods including template matching and LVQ based Feed Forward Neural Network