Neural representation of expected value in the adolescent brain.

Clinicopathologic and Survival Characteristics of Childhood and Adolescent Brain and Spinal Cord Tumors in Center of Iran

Background: The brain and spinal cord tumors account for 15% to 20% of all childhood malignancies. It is important to know the epidemiologic characteristics and survival of these patients to better understand the disease and the factors affecting its prognosis. The aim pf this study was to characterize the clinicopathology and survival rate of childhood and adolescent brain and spinal cord tumo...

Neuron Mathematical Model Representation of Neural Tensor Network for RDF Knowledge Base Completion

In this paper, a state-of-the-art neuron mathematical model of neural tensor network (NTN) is proposed to RDF knowledge base completion problem. One of the difficulties with the parameter of the network is that representation of its neuron mathematical model is not possible. For this reason, a new representation of this network is suggested that solves this difficulty. In the representation, th...

A Novel Classification Method using Effective Neural Network and Quantitative Magnetization Transfer Imaging of Brain White Matter in Relapsing Remitting Multiple Sclerosis

Background: Quantitative Magnetization Transfer Imaging (QMTI) is often used to quantify the myelin content in multiple sclerosis (MS) lesions and normal appearing brain tissues. Also, automated classifiers such as artificial neural networks (ANNs) can significantly improve the identification and classification processes of MS clinical datasets.Objective: We classified patients with relapsing-r...

Representation of Adsorption Data for the Case of Energetically Heterogeneous Solid Surfaces Using Artificial Neural Network

Optimal Portfolio Allocation based on two Novel Risk Measures and Genetic Algorithm

The problem of optimal portfolio selection has attracted a great attention in the finance and optimization field. The future stock price should be predicted in an acceptable precision, and a suitable model and criterion for risk and the expected return of the stock portfolio should be proposed in order to solve the optimization problem. In this paper, two new criterions for the risk of stock pr...