This paper reports the effect of the step-size (learning rate parameter) on the performance of the backpropgation algorithm. Backpropagation algorithm (BP) is used to train multilayer neural network. BP algorithm is the generalized form of the least mean square (LMS) algorithm. In this proposed backpropagation algorithm different learning rate parameter are used in different layer. The learning...

Network-based computer systems play increasingly vital roles in modern society; they have become the target of intrusions by our enemies and criminals. Intrusion detection system attempts to detect computer attacks by examining various data records observed in processes on the network. This paper presents a hybrid intrusion detection system models, using Learning Vector Quantization and an enha...

This paper proposes a non-recurrent training algorithm, resilient propagation, for the Simultaneous Recurrent Neural network operating in relaxation-mode for computing high quality solutions of static optimization problems. Implementation details related to adaptation of the recurrent neural network weights through the non-recurrent training algorithm, resilient backpropagation, are formulated ...

Lack of river and watershed management will cause problems disasters. One it is the flood that can physical, social economic loss. So countermeasures or anticipation are needed by using Early Warning System (EWS) to provide early information if a going occur. This study uses five input indicators: temperature, humidity, water discharge, surface altitude rainfall data produce output in form noti...