Our study employs sentiment analysis to evaluate the compatibility of Amazon. com reviews
with their corresponding ratings. Sentiment analysis is the task of identifying and classifying …

This paper presents a wearable electromyographic gesture recognition system based on the
hyperdimensional computing paradigm, running on a programmable parallel ultra-lowpower …

A membrane sequencing batch reactor (MSBR) treating hypersaline oily wastewater was
modeled by artificial neural network (ANN). The MSBR operated at different total dissolved …

Data originating from some specific fields, for instance tourist arrivals, may exhibit a high
degree of fluctuations as well as non-linear characteristics due to time varying behaviors …

The objective of this paper is to analysis of main soil properties such as organic matter,
essential plant nutrients, micronutrient that affects the growth of crops and find out the …

In this paper we focus on two complementary approaches to significantly decrease pre-
training time of a deep belief network (DBN). First, we propose an adaptive step size …

Objectives: The present review is focused on determining the efficiency of some of the
parameters for enhancing the time and accuracy training in the batch back propagation (BP) …

The major drawbacks of backpropagation algorithm are local minima and slow
convergence. This paper presents an efficient technique ANMBP for training single hidden …

Leveraging the power of increasing amounts of data to analyze customer base for attracting
and retaining the most valuable customers is a major problem facing companies in this …

Improving the efficiency and convergence rate of the Multilayer Backpropagation Neural
Network Algorithms is an active area of research. The last years have witnessed an …