 Fuzzy Cognitive Maps (FCM) is a technique to represent models of causal inference networks. Data driven FCM learning approach is a good way to model FCM. We present a hybrid FCM learning method that combines Nonlinear Hebbian Learning (NHL) and Extended Great Deluge Algorithm (EGDA), which has the efficiency of NHL and global optimization ability of EGDA. We propose using NHL to train FCM at ...

this study was performed to evaluate the effects of crud protein (cp) level on dry matter intake in prepartum period, productive performance and health of fresh cows. twenty multiparous holstein cows were assigned randomly to one of two dietary treatments. dietary treatments were treatment 1, 13% cp of dm (control), and treatment 2, 16% cp of dm. diets were similar in lactation net energy and r...

Tryptic soy broth (TSB)-grown cells of Staphylococcus aureus isolated from acute and chronic bovine mastitis bound mainly 125I-fibronectin (Fn) [corrected], whereas strains of nine species of coagulase-negative staphylococci showed a predominant interaction with 125I-collagen (Cn) [corrected] type I. A particle agglutination assay (PAA) was used to examine the interaction of coagulase-negative ...

Dendritic cells (DCs) induce pathogen-specific T cell responses. We comprehensively studied the effects of addition of maturation stimulus, fibroblasts (fibroblast conditioned medium), PHA activated T cells (T cell conditioned medium), and mixture of fibroblast & PHA activated T cells (FCM-TCCM) conditioned media on maturation of DCs. Monocytes were cultured with GM-CSF and IL-4 for five days. ...

the present study was conducted to estimate genetic parameters and genetic, environmental and phenotypic trends of milk production traits in holstein cattle of hamedan province. in this study 11986 305-d records of first three parities of hamedan province holstein cattle, which were gathered during 1990-2011, were used. variance-covariance components and breeding values were estimated using ani...

Modeling natural systems is challenging due to their complexity in terms of variables, interactions, and dynamics. Much of this complexity is rooted in the existence of multiple ways through which acting variables affect each other. Besides the simple direct effects, numerous indirect effects emerge in ecological systems. Through an illustrative example, I exemplify here several advantages of f...

The aim of the present study was to evaluate effects dietary ricinoleic acid from castor oil on milk yield, composition, fatty profile and haemato-biochemical in lactating Kankrej cows. Twenty cows were assigned following groups: control (CON), basal diet without any additive treatment (RAS), with 2 g/animal/day oil. Dietary had no (P>0.05) effect dry matter intake feed efficiency. Milk yiel...

Part III is concluded with this chapter that proposes a Fuzzy Cognitive Map (FCM)-based modeling of the Quality of Interaction (QoI) of the Learning Management System (LMS) users within a blended (b)learning context, namely FCM-QoI model. Two training/testing scenarios were conducted and explored here, i.e., time-dependent and time-independent, using as pre-validated QoI data the ones presented...

The S-FCM uses flow cytometry technology to measure sperm concentrations. Semen samples from 104 men attending a male infertility clinic were used to evaluate the reproducibility of results and the carryover rate with the S-FCM by performing between- and within-run imprecision analyses. In addition, sperm concentrations measured with the S-FCM were compared with those obtained by manual analyse...

Fuzzy c-means (FCM) has been considered as an effective algorithm for image segmentation. However, it still suffers from two problems: one is insufficient robustness to image noise, and the other is the Euclidean distance in FCM, which is sensitive to outliers. In this paper, we propose two new algorithms, generalized FCM (GFCM) and hierarchical FCM (HFCM), to solve these two problems. Traditio...