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What is Multi Layer Perceptron (MLP)

Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications
MLP is a feed forward neural network with one or more layers between input and output layer and are used to solve non-linearly separable problems. MLPs are trained using the back propagation algorithm. MLPs are widely used in pattern classification, recognition, prediction, etc.
Published in Chapter:
Soft-Computational Techniques and Spectro-Temporal Features for Telephonic Speech Recognition: An Overview and Review of Current State of the Art
Mridusmita Sharma (Gauhati University, India) and Kandarpa Kumar Sarma (Gauhati University, India)
DOI: 10.4018/978-1-4666-9474-3.ch006
Abstract
Speech is the natural communication means, however, it is not the typical input means afforded by computers. The interaction between humans and machines would have become easier, if speech were an alternative effective input means to the keyboard and mouse. With advancement in techniques for signal processing and model building and the empowerment of computing devices, significant progress has been made in speech recognition research, and various speech based applications have been developed. With rapid advancement of the speech recognition technology, telephone speech technology are getting more involved in many new applications of spoken language processing. From the literature it has been found that the spectro-temporal features gives a significant performance improvement for telephone speech recognition system in comparison to the robust feature techniques used for the recognition purpose. In this chapter, the authors have reported the use of various spectral and temporal features and the soft computing techniques that have been used for the telephonic speech recognition.
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Learning Aided Digital Image Compression Technique for Medical Application
Is an ANN type that requires a reference to learn patterns. It is trained using (error) back propagation algorithm.
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Quantum Backpropagation Neural Network Approach for Modeling of Phenol Adsorption from Aqueous Solution by Orange Peel Ash
It has a layered architecture consisting of input, hidden and output layers. Each layer consists of a number of perceptrons.
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