نتایج جستجو برای: perceptron neural network was designed

تعداد نتایج: 4702949  

اسماعیلی, محمدهادی , اسمعیلی, جواد , قائمیان, علی , محمد پور تهمتن, رضا علی,

Background and purpose: Since the human health is an essential issue in medical sciences, accurate predicting the individual's disease status is of great importance. Therefore, predicting with models minimum error and maximum certainty should be used. This study used artificial neural network model for predicting coronary artery disease (CAD) because it is more precise Comared to after models. ...

1999
Philip H. W. Leong Marwan A. Jabri

The design, implementation and operation of a low power multilayer perceptron chip (Kakadu) in the framework of a cardiac arrhythmia classiication system is presented in this paper. This system, called MATIC, makes timing decisions using a decision tree, and a neural network is used to identify heartbeats with abnormal morphologies. This classiier was designed to be suitable for use in implanta...

Journal: :journal of agricultural science and technology 2009
m.r. yazdani b. saghafian m. h. mahdian2 s. soltani

runoff estimation is one of the main challenges encountered in water and watershed management. spatial and temporal changes of factors which influence runoff due to het-erogeneity of the basins explain the complicacy of relations. artificial neural network (ann) is one of the intelligence techniques which is flexible and doesn’t call for any much physically complex processes. these networks can...

Journal: :پژوهش های علوم دامی ایران 0
جواد ایزی حیدر زرقی

introduction: with using multiple linear regression (mlr), can simultaneously analyses several different variables, but to get the desirable results from the mlr, the samples must be much and accurate. therefore, this method has high sensitivity and may cause errors in results. in addition, to use this method, the variable must have normal distribution and modification follow from a linear rela...

Journal: :علوم دامی 0
حمیدرضا میرزایی دانشیار ، دانشگاه پیام نور، مشهد، ایران محمّد صالحی دیندارلو دانش آموخته کارشناسی ارشد علوم دامی، دانشگاه زابل

three artificial neural networks (ann) models; general regression neural network (grnn), redial basis function (rbf) and three layer multiple perceptron network were carried out to evaluate the prediction of the apparent metabolizable energy (ame) of wheat and corn from its chemical composition in broiler. input variables included: gross energy (ge), crude protein (cp), crude fiber (cf), ether ...

Journal: :international journal of hematology-oncology and stem cell research 0
mehrdad payandeh hematology-oncology department, faculty of medical science, kermanshah university of medical science,kermanshah, iran mehrnoush aeinfar hematology-oncology department, faculty of medical science, kermanshah university of medical science, kermanshah, iran vahid aeinfar electronic department, faculty of technology, razi university, kermanshah, iran computational intelligence research center, razi university, kermanshah, iran mohsen hayati electronic department, faculty of technology, razi university, kermanshah, iran computational intelligence research center, razi university, kermanshah, iran

abstract: this paper represents a novel use of artificial neural networks in medical science. the proposed technique involves training a multi layer perceptron (mlp) (a kind of artificial neural network) with a bp learning algorithm to recognize a pattern for the diagnosing and prediction of five blood disorders, through the results of blood tests from h1 machine. the blood test parameters and ...

1998
Markus Törmä Juha Hyyppä

Tree species proportions of forest stands were estimated using ranging scatterometer called HUTSCAT. Employed estimation method was multilayer perceptron neural network with error backpropagation training algorithm. Two methods for feature extraction were tested; other based on intensity and shape of measured profiles, other only shape. Different neural network configurations were tried and it ...

Classrooms, as one of the most important educational environments, play a major role in the learning and academic progress of students. reverberation time, as one of the most important acoustic parameters inside rooms, has a significant effect on sound quality. The inefficiency of classical formulas such as Sabin, caused this article to examine the use of machine learning methods as an alternat...

Journal: :gene, cell and tissue 0
marie barati university of applied science and technology centre of nehbandan, nehbandan, ir iran mansour ebrahimi department of biology, school of basic sciences, university of qom, qom, ir iran; department of biology, school of basic sciences, university of qom, qom, ir iran

alzheimer disease is one form of dementia in old age. alzheimer disease, the incurable disease, which is usually in the seventh decade of human life, shows its symptoms. the disease may be present for years without clinical symptoms. the current study identified the genes with altered expression in patients with alzheimer disease. the important sequence of each gene in alzheimer disease was fou...

The present paper presented a methodology for prioritizing the innovative and entrepreneurial indicators using Multi Criteria Decision Making (MCDM) and Artificial Neural Networks (ANNs), taking into account three individual, organizational and cultural dimensions simultaneously in decision making procedure. This methodology has two main advantages: first, the speed of operation in the accounti...

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