A stereo-compound hybrid microscope for combined intracellular and optical recording of invertebrate neural network activity

scour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

Combined Optical and Neural Network Fingerprint Matching

Estimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to estimate reference evapotranspiration in order to determine the best model in terms of efficienc...

A neural network hybrid model for an optical braille recognitor

Braille is the most widely used system for written communication using tactile means. Automation of the Braille reading process will effectively enable the transcription and duplication of existing documents as well as their preservation. By converting a Braille document into electronic form, all the benefits of developments for the electronic form of printed documents can be enjoyed: easier tr...

Model for Thermal Conductivity of Nanofluids Using a General Hybrid GMDH Neural Network Technique

In this study, a model for estimating the NFs thermal conductivity by using a GMDH-PNN has been investigated. NFs thermal conductivity was modeled as a function of the nanoparticle size, temperature, nanoparticle volume fraction and the thermal conductivity of the base fluid and nanoparticles. For this purpose, the developed network contains 8 layers with 2 inputs in each layer and also tra...