نتایج جستجو برای: layer perceptron (mlp)

تعداد نتایج: 290043  

Journal: :the modares journal of electrical engineering 2011
amin derakhshan mohammad ali khalilzadeh amin mohammadian

it has been demonstrated that anxiety is accompanied by significant warm up in the periorbital area. this warm up was attributed to the increased blood circulation in the area around the eyes. the whole pattern makes physiological and evolutionary sense since it represents a mechanism to facilitate rapid eye movements during preparedness for fight. this increased blood flow dissipates convectiv...

2005
Hongying Yang Hao Ye Guizeng Wang Maiying Zhong

This paper proposes a new method for prediction of chaotic time series based on Parallel Multi-Layer Perceptron (PMLP) net and dynamics reconstruction technique. The PMLP contains a number of multi-layer perceptron (MLP) subnets connected in parallel. Each MLP subnet predicts the future data independently with a different embedding dimension. The PMLP determines the final predicted result accor...

2009
Mohsen Hayati Yazdan Shirvany

In this paper, the application of neural networks to study the design of short-term load forecasting (STLF) Systems for Illam state located in west of Iran was explored. One important architecture of neural networks named Multi-Layer Perceptron (MLP) to model STLF systems was used. Our study based on MLP was trained and tested using three years (2004-2006) data. The results show that MLP networ...

2009

There are a lot of extensions made to the classic model of multi-layer perceptron (MLP). A notable amount of them has been designed to hasten the learning process without considering the quality of generalization. The paper proposes a new MLP extension based on exploiting topology of the input layer of the network. Experimental results show the extended model to improve upon generalization capa...

2013
Cong-Thanh Do Claude Barras Viet Bac Le Achintya Kumar Sarkar

Short-term cepstral features have long been chosen as standard features for speaker recognition thanks to their relevance and effectiveness. In contrast, discriminative features, calculated by a multi-layer perceptron (MLP) from much longer stretches of time, have been gradually adopted in automatic speech recognition (ASR). It has been shown that augmenting short-term cepstral features with lo...

2000
Sunil Sivadas Pratibha Jain Hynek Hermansky

Deviating from the conventional Hidden Markov ModelMulti-Layer Perceptron (HMM-MLP) hybrid paradigm of using MLP for classi cation, the proposed discriminative MLP technique uses MLP as a mapping module for feature extraction for conventional HMM-based systems. The MLP is discriminatively trained on the phonetically labeled training data to generate the phoneme posterior probabilities. We achie...

Journal: :J. Inf. Sci. Eng. 2005
Kaushik Roy Chitrita Chaudhuri Mahantapas Kundu Mita Nasipuri Dipak Kumar Basu

The work presents the results of an investigation conducted to compare the performances of the Multi Layer Perceptron (MLP) and the Nearest Neighbor (NN) classifier for handwritten numeral recognition problem. The comparison is drawn in terms of the recognition performance and the computational requirements of the individual classifiers. The results show that a two-layer perceptron performs com...

2010
Mutasem khalil Sari Alsmadi Khairuddin Bin Omar Shahrul Azman Noah

A multilayer perceptron is a feed forward artificial neural network model that maps sets of input data onto a set of appropriate output. It is a modification of the standard linear perceptron in that it uses three or more layers of neurons (nodes) with nonlinear activation functions and is more powerful than the perceptron in that it can distinguish data that is not linearly separable, or separ...

2002
Fabrice Rossi Brieuc Conan-Guez François Fleuret

In this paper, we propose a way to apply Multi Layer Perceptron (MLP) to Functional Data Analysis. We introduce a computation model for functional input data and we show that this model is a well behaving extension of MLP: we show that the proposed model has the universal approximation property. Moreover, parameter estimation for this model is consistent. As a conclusion, we demonstrate functio...

2005
Qifeng Zhu Barry Y. Chen Frantisek Grézl Nelson Morgan

In this paper, we present our recent progress on multi-layer perceptron (MLP) based data-driven feature extraction using improved MLP structures. Four-layer MLPs are used in this study. Different signal processing methods are applied before the input layer of the MLP. We show that the first hidden layer of a four-layer MLP is able to detect some basic patterns from the time-frequency plane. KLT...

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