Application of Artificial Neural Networks for Real Estate Valuation In the recent years, increased interests in artificial neural networks (ANN) may be noticed all over the world; such networks are being developed as a result of research performed in the field of artificial intelligence. It is a...
Design, analysis and reat-time realization of artificial neural network for control and classification - DONG - 2006 () Citation Context ...rogrammable analog array technology appeared in 1980’s [3-4]. The commercial FPAA did not reach the market until 1996 [1]. And the Anadigm FPAA ...
[1] When an operational artificial neural network (ANN) model is deployed, new input patterns are collected in order to make real-time forecasts. However, ANNs (like other empirical and statistical methods) are unable to reliably extrapolate beyond the calibration range. Consequently, when deployed...
A new study shows that artificial intelligence networks based on human brain connectivity can perform cognitive tasks efficiently. By examining MRI data from a large Open Science repository, researchers reconstructed a brain connectivity pattern, and applied it to anartificial neural network(ANN). An A...
The main goal of this paper is to present Artificial Neural Network potential, through main ANN models and based techniques, to solve real world industrial problems dealing with Image processing and pattern recognition fields关键词: Real-World and Industrial Applications Artificial Neural Networks Image...
The approximation capability of artificial neural networks has been applied to the midcourse guidance problem to overcome the difficulty of deriving an on-board guidance algorithm based on optimal control theory. This approach is to train a neural network to approximate the optimal guidance law in fee...
Artificial neural network-based prediction and geomechanical analysis of lost circulation in naturally fractured reservoirs: a case study This phenomenon can lead to some serious problems such as wellbore instability, differential pipe sticking and blow out. Meanwhile, it is possible to ... R ...
Briefly, the method uses a very fast artificial neural network (ANN) to provide initial estimates to a slower, more accurate variably damped least squares (VDLS) algorithm. The work here addresses a key question raised in the prior work: how the solution workload should best be shared ...
Beyond electrophysiological data recording and processing, the RC artificial network, which was originally inspired by neurobiology and offers functionalities resembling that of biological systems37, can possibly play a more active role though the interactions with the biological neural network38. For exampl...
Practical/ computer vision feedback learning systems neural nets position control robots/ neural networks sensor-based control robots neural network-based learning control system command signals learning experiments General Electric P-5 manipulator/ C3390 Robotics C1230 Artificial intelligence C7420 Control ...