the fusion of medical images is very useful for clinical application. generally, the pet image indicates the function of tissue and the mri image shows the anatomy of tissue. in this article we fused mri and pet images and the purpose is adding structural information from mri to pet image. the images decomposed with curvelet transform, and then two images fused with applying fusion rules. we us...

Component extraction is a technique for extracting the latent components that underlie the observation of a set of variables. In the paper both classical Principal component analysis (PCA) and autoassociative principal component neural network (PCNN) methods with minimum mean square error (MSE) criterion are compared with the corresponding extended component extraction methods with Minimum erro...

The sun spot time series is a random series generated with a complicated nonlinear system. Time delay neural networks (TDNN) are typical nonlinear systems that could be used to perform time series prediction. In this project, we applied the TDNN trained with both MSE and MEE criteria to predict the time series. Both criteria showed the effectiveness of the nonlinear systems. Furthermore, the TD...

§0. Introduction Let X be a compact metric space and T : X → X is continuous transformation. Then the dynamics of T is a widely studied subject. In particular, h(T ) the entropy of T is a well understood object. Let Γ ⊂ X ×X be a closed set. Then Γ induces certain dynamics and entropy h(Γ). If X is a finite set then Γ can be naturally viewed as a directed graph. That is, if X = {1, ..., n} then...

the mechanical aspect of entropy-exergy relationship, together with the thermal aspect usually consid-ered, leads to an extended formulation of physical exergy based on both maximum useful work and maximum useful heat that are the outcome of available energy of a thermodynamic system. this approach suggests that a mechanical entropy can be studied, in addition to the already used thermal entrop...

In this study we propose a measure of the entropy norm (R, S) for q-row orthopair fuzzy sets (qROFS). The proposed is validated both theoretically and practically to ensure validity. We also simple methodology purpose solving multi-criteria decision-analysis problems using introduced measure. This method takes into account different circumstances criteria weights, such as unknown well other cas...

The construction of efficient and effective decision trees remains a key topic in machine learning because of their simplicity and flexibility. A lot of heuristic algorithms have been proposed to construct nearoptimal decision trees. Most of them, however, are greedy algorithms that have the drawback of obtaining only local optimums. Besides, conventional split criteria they used, e.g. Shannon ...