نتایج جستجو برای: nn implementation
تعداد نتایج: 372770 فیلتر نتایج به سال:
Preslaughter muscle temperature in anesthetized pigs of different halothane genotypes (NN, Nn, and nn) was raised or lowered during a 45-min period of anesthesia. The different treatments produced muscle and rectal temperature differentials of 1.5 to 2 degrees C across genotypes. Blood and muscle biopsy samples were taken during the period of anesthesia, to study muscle energy metabolism by mea...
Given the paramount importance of data mining in organizations and possible contribution a data-driven customer classification recommender systems for loan-extending financial institutions, study applied supervised approaches to derive best classifier loan default. A total 900 instances with determined attributes class labels were used training cross-validation processes while prediction 100 ne...
This paper proposes a novel approach for an optimal multi-objective optimization for VLSI implementation of Artificial Neural Network (ANN) which is area-power-speed efficient and has high degree of accuracy and dynamic range. A VLSI implementation of feed forward neural network in floating point arithmetic IEEE-754 single precision 32 bit format is presented that makes the use of digital weigh...
Differential Global Positioning System (DGPS) provides differential corrections for a GPS receiver in order to improve the navigation solution accuracy. DGPS position signals are accurate, but very slow updates. Improving DGPS corrections prediction accuracy has received considerable attention in past decades. In this research work, the Neural Network (NN) based on the Gaussian Radial Basis Fun...
Background: Data mining (DM) is an approach used in extracting valuable information from environmental processes. This research depicts a DM approach used in extracting some information from influent and effluent wastewater characteristic data of a waste stabilization pond (WSP) in Birjand, a city in Eastern Iran. Methods: Multiple regression (MR) and neural network (NN) models were examined u...
Background and purpose: Intelligent methods such as artificial neural networks (ANN) have been recently used as an efficient model for prediction and classification of tumors. Diagnosis of benign and malignant breast tumors based on morphological, clinical and demographic features without using invasive paraclinical methods is very important. The aim of this study was to provide a neural ne...
Leaves from in vitro proliferating shoots of cvs. Chandler and Hartley of Persian walnut were cultured on MS and NN media supplemented with BA and NAA. Three light conditions including darkness, low light intensity and modified light intensity were used. Most of the calli were friable and non-embryonic in all three conditions. Rate of callogenesis depended on cultivar, culture medium, light con...
background: epilepsy is a severe disorder of the central nervous system that predisposes the person to recurrent seizures. fifty million people worldwide suffer from epilepsy; after alzheimer's and stroke, it is the third widespread nervous disorder. objective: in this paper, an algorithm to detect the onset of epileptic seizures based on the analysis of brain electrical signals (eeg) has be...
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