Multilayer Perceptron based Model of Large-Scale Gene Regulatory Network

Music instrument categorization using multilayer perceptron network

Audio content description is one of the key components to multimedia search, classification and source identification. This project examines precision of audio content description based on spectral information only on one hand, and spectral and temporal on the other. Multilayer neural network with varied parameters is used to classify musical instruments based on obtained descriptors.

A Software Model for the Multilayer Perceptron

In this work we construct a software model for the multilayer perceptron neural network. The whole process is carried out in the Unified Modeling Language (UML), which provides a formal framework for the modeling of software systems. The final implementation, called Flood, has been written in the C++ Programming Language and placed under the GNU Lesser General Public License.

Hierarchical multilayer perceptron based language identification

Automatic language identification (LID) systems generally exploit acoustic knowledge, possibly enriched by explicit language specific phonotactic or lexical constraints. This paper investigates a new LID approach based on hierarchical multilayer perceptron (MLP) classifiers, where the first layer is a “universal phoneme set MLP classifier”. The resulting (multilingual) phoneme posterior sequenc...

Multilayer perceptron-based DFE with lattice structure

The severely distorting channels limit the use of linear equalizers and the use of the nonlinear equalizers then becomes justifiable. Neural-network-based equalizers, especially the multilayer perceptron (MLP)-based equalizers, are computationally efficient alternative to currently used nonlinear filter realizations, e.g., the Volterra type. The drawback of the MLP-based equalizers is, however,...

Maximum covariance method for weight initialization of multilayer perceptron network