نتایج جستجو برای: layer neural network perceptron

تعداد نتایج: 1074371  

2000
B. Daâchi

In this paper we present an adaptive appoach to observe the joint velocity for rigid robot manipulators. This approach is based on the neural network and sliding mode technique. The adopted neural network is of the MLP (Multi Layer Perceptron) type with one hidden layer. The functions of the dynamic model of the robot manipulator are assumed unknown. The neural network parameters are adapted on...

1994
Il Song Han Ki-Chul Kim Hwang-Soo Lee

Ki-Chul Kim Dept. of Info and Comm KAIST Seoul, 130-012, Korea This paper describes a way of neural hardware implementation with the analog-digital mixed mode neural chip. The full custom neural VLSI of Universally Reconstructible Artificial Neural network (URAN) is used to implement Korean speech recognition system. A multi-layer perceptron with linear neurons is trained successfully under the...

1997
Theo Sabisch Alistair Ferguson

A hierarchical neural network model for the identiication of arbitrary contour shapes is presented. Tolerance towards translation, rotation and scaling is achieved far more cost-eeectively than for a fully connected multi-layer perceptron.

Journal: :جغرافیا و توسعه ناحیه ای 0
کمال امیدوار معصومه نبوی زاده

precipitation is one of important parameters of climatology and atmospheric science that have more importance in human life. recently, extensive flood and drought entered many damage to most parts of the world. precipitation forecasting and alerts management role is responsible for these problems. today, artificial neural networks are one of developed method that applied for estimate and predic...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید باهنر کرمان - دانشکده ریاضی و کامپیوتر 1391

امروزه با گسترش شبکه های کامپیوتری، بحث امنیت شبکه بیش از گذشته مورد توجه پژوهشگران قرار گرفته است. در این راستا تشخیص نفوذ به عنوان یکی از اجزای اصلی برقراری امنیت در شبکه های کامپیوتری شناخته می شود. شناسایی نفوذ در شبکه های کامپیوتری و جلوگیری از آن به عنوان یکی از مباحث اصلی در همایش های امنیتی جوامع پیشرفته مطرح می باشد. در این راستا روش های گوناگونی جهت مقابله با حملات در قالب سیستم های ت...

This paper presents the prediction of vehicle's velocity time series using neural networks. For this purpose, driving data is firstly collected in real world traffic conditions in the city of Tehran using advance vehicle location devices installed on private cars. A multi-layer perceptron network is then designed for driving time series forecasting. In addition, the results of this study are co...

In order to river flow forecasting in catchments area in during many years are invented different methods that their efficiency is confirmed. One of these simulation models is neural network that it can draw the existence of truth together with considerable attention. In this research in order to Discharge simulation is investigated meteorological parameters effects on Ghare Aghaj river flow. F...

Journal: :nanomedicine research journal 0
reza aghayari young researchers and elite club, shahrood branch, islamic azad university, shahrood, iran heydar maddah department of chemistry, sciences faculty, arak branch, islamic azad university, arak, iran ali reza faramarzi department of chemical engineering, islamic azad university, saveh branch, saveh, iran hamid mohammadiun department of mechanical engineering, shahrood branch, islamic azad university, shahrood, iran mohammad mohammadiun department of mechanical engineering, shahrood branch, islamic azad university, shahrood, iran

objective(s): this study aims to evaluate and predict the thermal conductivity of iron oxide nanofluid at different temperatures and volume fractions by artificial neural network (ann) and correlation using experimental data. methods: two-layer perceptron feedforward artificial neural network and backpropagation levenberg-marquardt (bp-lm) training algorithm are used to predict the thermal cond...

2009
J. Kumaran

This paper introduces a flexible neural tree (FNT) with necessary number of hidden units and is generated initially as a flexible multi-layer feed-forward neural network evolved using an evolutionary procedure and also considers the approximation of sufficiently smooth multivariable function with a multilayer perceptron. For a given neural tree with approximation order, explicit formulas for th...

Risks assessment of forest project implementation in spatial density changes of forest under canopy vegetation using artificial neural network modeling approach   Nowadays, environmental risk assessment has been defined as one of the effective in environmental planning and policy making. Considering the position and structure of vegetation on the forest floor, the main role of forest under ca...

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