In this letter we present a fully automatic and computationally eecient algorithm based on the Minimum Description Length Principle (MDL) for optimizing multilayer per-ceptron classiiers. We demonstrate our method on the problem of multispectral Landsat image classiication. We compare our results with a hand designed multi-layer percep-tron and a Gaussian maximum likelihood classiier where our ...

nowadays, groundwater resources play a vital role as a source of drinking water in arid and semiarid regions and forecasting of pollutants content in these resources is very important. therefore, this study aimed to compare two soft computing methods for modeling cd, pb and zn concentration in groundwater resources of asadabad plain, western iran. the relative accuracy of several soft computing...

This paper presents automatic methods for the segmenta-tion and classiication of dialog acts (DA). In Verbmobil it is often suucient to recognize the sequence of DAs occurring during a dialog between the two partners. Since a turn can consist of one or more successive DAs we conduct the classiication of DAs in a two step procedure: First each turn has to be segmented into units which correspond...

In this paper we propose a novel concept for analyzing dynamic economic and nan cial systems by multi compartment mod eling techniques in combination with neu ral networks This is done as a two step process rst a multi layer percep tron MLPident is introduced to approxi mate the dynamics of observable variables of a single domestic compartment and to identify interdependencies second a multi la...

Three male American English talkers spoke words that differed in lexical stress, and sentences that differed in phrasal stress, while video and movements of the face were recorded. In a production study, stressed vs. unstressed syllables from these utterances were compared along many measures of facial movement, which were generally larger and faster. In a visual perception study, 16 perceivers...

1 Introduction Typically, models of neural networks are divided into two categories in terms of signal transmission manner: feed-forward neural networks and recurrent neural networks. They are built up using different frameworks, which give rise to different fields of applications. Feed-forward neural network (FNN), also referred to as multilayer percep-trons (MLPs), has drawn great interests o...

Genetic programming has been successfully ap plied to evolve computer programs for solving a variety of interesting problems In the previous work we introduced the breeder genetic programming BGP method that has Occam s razor in its tness measure to evolve minimal size multilayer perceptrons In this paper we apply the method to synthesis of sigma pi neural networks Unlike percep tron architectu...