Learn More
Multi-layer Perceptron Neural Networks (MLP NNs) are one of the most popular NNs in classification of the actual objectives. ‘‘Training’’ is the most important developmental section of these types of networks which has gained a lot of attention in the recent years. Using the gradient descent and recursive methods have been common for the purposes of(More)
False alarm rate reduction is one of the challenging issues in the sonar systems. This paper uses classification technique to identify real targets from false alarms. For this purpose, Radial Basis Function Networks (RBFNs) are utilized. Taking into account the use of gradient descent and recursive methods in the classic RBFNs, low Classification accuracy,(More)
  • 1