نتایج جستجو برای: layer neural network contains a structure including one input layer with 9 neurons

تعداد نتایج: 16146098  

Journal: :Journal of neurophysiology 1993
J A White I Ziv L J Cleary D A Baxter J H Byrne

1. The contributions of monosynaptic and polysynaptic circuitry to the tail-withdrawal reflex in the marine mollusk Aplysia californica were assessed by the use of physiologically based neural network models. Effects of monosynaptic circuitry were examined by the use of a two-layer network model with four sensory neurons in the input layer and one motor neuron in the output layer. Results of th...

بهره مند, عبدالرضا, دهقانی, نوید, وفاخواه, مهدی,

     Rainfall runoff modeling and prediction of river discharge is one of the important practices in flood control and management, hydraulic structure design and drought management. The present article aims to simulate daily streamflow in Kasilian watershed using an artificial neural network (ANN) and neuro-fuzzy inference system (ANFIS). The intelligent methods have the high potential for dete...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه زنجان - دانشکده ادبیات و علوم انسانی 1392

abstract the present study investigated the effects of task types and involvement load hypothesis on incidental learning of 10 target words (tws) in junior high schools (jhss) in givi, ardabil. the tasks deployed in this study were two input-based tasks (reading plus dictionary use with an involvement index of 3, and reading plus gap-fill task with an involvement index of 2), and one output-ba...

Journal: :پژوهش های جغرافیای طبیعی 0
علی نصیری مجتبی یمانی

estimation of pure runoff is a house virtually is complex and different methods of calculation have been proposed. modern methods of solving problems in river engineering and water homes and assess the flow method is used, is that the artificial network pattern of human brain neural network training process, while implementation of the internal relationships between the data and discover for ot...

2015
Zongyan Li Matt Best

Abstract—This paper presents an optimization method for reducing the number of input channels and the complexity of the feed-forward NARX neural network (NN) without compromising the accuracy of the NN model. By utilizing the correlation analysis method, the most significant regressors are selected to form the input layer of the NN structure. An application of vehicle dynamic model identificati...

2012
Md Fazlul Kader Kaushik Deb

Propose a neural-network based size and color invariant character recognition system using feed-forward neural network. Our feed-forward network has two layers. One is input layer and another is output layer. The whole recognition process is divided into four basic steps such as pre-processing, normalization, network establishment and recognition. Pre-processing involves digitization, noise rem...

Journal: :پژوهش های جغرافیای طبیعی 0
مژگان احمدی ندوشن علیرضا سفیانیان سیدجمال الدین خواجه الدین

land cover map is important for many urban planning and management activities. in this study, in order to produce land cover map of arak city, digital image of liss-iii scanner acquired on 16 june 2006 were employed. first of all, geometric correction with rmse 0.58 pixel was applied. considering the mountainous condition of the study area, topographic correction was applied to the image. in su...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2006
mahmoud mousavi akram avami

an artificial neural network has been used to determine the volume flux and rejections of ca2+ , na+ and cl¯, as a function of transmembrane pressure and concentrations of ca2+, polyethyleneimine, and polyacrylic acid in water softening by nanofiltration process in presence of polyelectrolytes. the feed-forward multi-layer perceptron artificial neural network including an eight-neuron hidden la...

Mehran Kamkar Haghighi , Mostafa Langarizadeh, Rahil Hosseini Eshpala, Tabatabaei Banafsheh ,

Introduction: Artificial neural networks are a type of systems that use very complex technologies and non-algorithmic solutions for problem solving. These characteristics make them suitable for various medical applications. This study set out to investigate the application of artificial neural networks for differential diagnosis of thalassemia minor and iron-deficiency anemia. Methods: It is...

1999
Ovidiu Ivanciuc

MolNet, a new type of multi-layer feedforward neural network, is presented together with its application to the computation of alkane enthalpies. The MolNet neural network changes its topology (the number of neurons in the input and hidden layers, together with the number and type of connections) according to the molecular structure of the chemical compound presented to the network. The structu...

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