kutum, rutilus frisii kutum, is an commercially important fish in the caspian sea. the fish enters the rivers leading to the caspian sea for spawning. one of these rivers is shiroud river. in the artificial propagation process of kutum, different factors are involved in quality and quantity of female broods eggs and also in the best temperature and migration time for spawning. the influence of ...

Objective- Acipenser persicus is one of the most important caviar producing fishes in the Caspian Sea and one of the endangered species of the sturgeon fishes. For breeding of sturgeons, large numbers of animals have to be captured and examined to obtain sufficient numbers of mature fishes that will spawn within a few months in captivity. Design- Original study Animals- A total of 66 adult Acip...

caspian brown trout (salmo trutta caspius) is one of the economically valuable species in the caspian sea. artificial propagation and production of larvae are the main problems in the early culture of this species. the purpose of this paper is to study the effect of reproductive performance of female broods on opposition reproduction efficiency in caspian brown trout in the breeding season of 2...

the purpose of this project is the investigation of lhrha2 integrated effect with carp pituitary extract (cpe) in three stages injection on sexual indexes (fecundity, fertilization, hatch and larval survival) in artificial propagation of barbusxanthopterus. 20 fish were divided in to 4 treatment and injected interpritoneal as follows 4mgkg-1b.w.of cpe as positive control, 4 µg/kg +4 mgkg-1b.w. ...

in this paper, i develop three forecasting models: namely structural, times series, and artificial neural networks; to forecast iranian inflation rates. the structural model uses aggregate demand and aggregate supply approach, the time series model is based on the standard arlma technique, and the artificial neural network applies multi-layer back propagation model the latter, which is rooted i...

artificial neural networks (ann) have shown to be a powerful tool for system modeling in a wide range of applications. the focus of this study is on neural network applications to data analysis in egg production. an ann model with two hidden layers, trained with a back propagation algorithm, successfully learned the relationship between the input (age of hen) and output (egg production) variabl...

runoff is one of the major components of calculating water resource processes and is the main issue in hydrology. many concept models are used to predict the amount of runoff, which in most cases depend on topographical and hydrological data. conventional models are not appropriate for areas in which there is little hydrological data. changes in runoff are nonlinear, meaning it is time & space ...

Various artificial neural networks types are examined and compared for the prediction of surface roughness in manufacturing technology. The aim of the study is to evaluate different kinds of neural networks and observe their performance and applicability on the same problem. More specifically, feed-forward artificial neural networks are trained with three different back propagation algorithms, ...

owing to reduction of sturgeon stocks in various water bodies, artificial propagation has become significantly important for stock restoration and appropriate broodstock selection is vital in this process. selection of suitable broodstocks may influence the quality and quantity of obtained eggs and larva. the present study aimed to examine correlation between some morphometric and reproductive ...