ABSTRACT Global warming is the today’s important problem for all over the world. Due to the global warming, countries come face to face with lots of problems such as shortage of clean and usable water, erosion, usage of natural resources, and climatic problems. That’s why; in this paper, we proposed a model for selection of the utilization strategies for water resources in Turkey by using analy...

In this paper, a multi-stage face detection method using hybrid neural networks is presented. The method consists of three stages: preprocessing, feature extraction and pattern classification. We introduce an adaptive filtering technique which is based on a skin-color analysis using fuzzy minmax(FMM) neural networks. A modified convolutional neural network(CNN) is used to extract translation in...

Sentiment analysis is one part of natural language processing. can be done by lexicon based, or machine learning based. based on has advantage dynamism to meet with new datasets vocabulary. seeks understand the sentiments contained in a sentence. A sentence positive, neutral negative, its sentiments. have negative However, fact each does not always sentiment clearly. We try develop method that ...

This paper presents a layer-structured fuzzy neural network (FNN) for learning rules of fuzzy-logic control systems. Initially, FNN is constructed to contain all the possible fuzzy rules. We propose a two-phase learning procedure for this network. The first phase is a error-backprop (EBP) training, and the second phase is a rule pruning. Since some functions of the nodes in the FNN have the com...

Most current intrusion detection methods cannot process large amounts of audit data for real-time operation. In this paper, anomaly network intrusion detection method based on Principal Component Analysis (PCA) for data reduction and Fuzzy Adaptive Resonance Theory (Fuzzy ART) for classifier is presented. Moreover, PCA is applied to reduce the high dimensional data vectors and distance between ...

in common classical methods of cavity depth estimation through microgravity data, usually when a pre-geometrical model is considered for the cavity shape, the simple geometrical models of sphere, vertical cylinder and horizontal cylinder are commonly used. it is obviously an important fact that in real conditions the shapes of the cavities are not exactly sphere, horizontal cylinder or vertical...