نتایج جستجو برای: روش mlp

تعداد نتایج: 374199  

2012
Mohamed Faouzi BenZeghiba Jean-Luc Gauvain Lori Lamel

This paper describes a very efficient Parallel Phone Recognizers followed by Language Modeling (PPRLM) system in terms of both performance and processing speed. The system uses context-independent phone recognizers trained on MLP features concatenated with the conventional PLP and pitch features. MLP features have several interesting properties that make them suitable for speech processing, in ...

2005
Qifeng Zhu Andreas Stolcke Barry Y. Chen Nelson Morgan

We describe the development of a speech recognition system for conversational telephone speech (CTS) that incorporates acoustic features estimated by multilayer perceptrons (MLP). The acoustic features are based on frame-level phone posterior probabilities, obtained by merging two different MLP estimators, one based on PLP-Tandem features, the other based on hidden activation TRAPs (HATs) featu...

Journal: :تولیدات دامی 0
علی خضریان دانشجوی دکتری دامپزشکی، دانشکده دامپزشکی، دانشگاه رازی، کرمانشاه، ایران محمد ابراهیم نوریان سرور استادیار گروه علوم دامی، پردیس کشاورزی و منابع طبیعی، دانشگاه رازی، کرمانشاه، ایران محمد مهدی معینی دانشیار گروه علوم دامی، پردیس کشاورزی و منابع طبیعی، دانشگاه رازی، کرمانشاه، ایران

the aim of this study was to evaluate the effects of mentha longofolia plant (mlp) and its essential oils (mle) on ruminal fermentation and protozoa population in goat. the mlp at six levels 0, 25, 35, 55, 75 and 100 mg/30 ml, and the essential oil at six levels 0, 1700,3000,6700,8300 and 10000 mg/l plus monensin (as positive control, 50 mg and dissolved in ethanol) added to rumen fluid respect...

2001
Sankar K. Pal Sushmita Mitra Pabitra Mitra

| A methodology is described for evolving a Rough-fuzzy multi layer perceptron with modular concept using a genetic algorithm to obtain a structured network suitable for both classiication and rule extraction. The modular concept, based on \divide and conquer" strategy, provides accelerated training and a compact network suitable for generating a minimum number of rules with high certainty valu...

تشنه لب, محمد, سلیمی, نرگس, شرفی, یوسف, فاطمی عقدا, سید محمود,

زمین­لغزش­ها هر سال خسارت­های مالی و جانی زیادی به‌بار می­آورند. نقشه­های پهنه‌بندی خطر زمین­لغزش می­توانند به کاهش این خسارت­ها کمک کنند. حوزۀ آبخیز طالقان از جمله­ حوزه­های مستعد زمین­لغزش است که بررسی شده است. در این مقاله به پهنه­بندی خطر زمین­لغزش در این منطقه و در مقیاس 50000/1، و با در نظر داشتن لایه­های اطلاعاتی پراکندگی لغزش­ها، شیب، برای شیب، زمین‌شناسی (لیتولوژی)، فاصله از گسل­ها، فا...

Journal: :IEEE Transactions on Neural Networks 2011

2011
Joel Pinto Mathew Magimai-Doss Hervé Bourlard

We apply multilayer perceptron (MLP) based hierarchical Tandem features to large vocabulary continuous speech recognition in Mandarin. Hierarchical Tandem features are estimated using a cascade of two MLP classifiers which are trained independently. The first classifier is trained on perceptual linear predictive coefficients with a 90 ms temporal context. The second classifier is trained using ...

2005
Fajie Li Reinhard Klette

We consider simple cube-curves in the orthogonal 3D grid. The union of all cells contained in such a curve (also called the tube of this curve) is a polyhedrally bounded set. The curve’s length is defined to be that of the minimum-length polygonal curve (MLP) fully contained and complete in the tube of the curve. So far no provable general algorithm is known for the approximative calculation of...

2002
Koray Balci Volkan Atalay

A pruning schema is applied to Multi-Layer Perceptron (MLP) gender classi£er. MLP uses eigenvector coef£cients of the face space created by Principal Component Analysis (PCA). We show that pruning improves the initial MLP performance by preserving the most effective input while eliminating most of the units and connections. Pruning is also used as a tool to monitor which eigenvectors contribute...

2008
Shuo-Yiin Chang Lin-Shan Lee

In tandem systems, the outputs of multi-layer perceptron (MLP) classifiers have been successfully used as features for HMM-based automatic speech recognition. In this paper, we propose a data-driven clustered hierarchical tandem system that yields improved performance on a large-vocabulary broadcast news transcription task. The complicated global learning for a large monolithic MLP classifier i...

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