[PDF] Top 20 THE FURTHER VISIT OF THE PATIENT USING ARTIFICIAL NEURAL NETWORK

... as artificial intelligence ...an artificial neural network. Artificial intelligence research is deeply divided into subdomains that sometimes do not communicate with each ...of ... See full document

... Neural Network (ANN) is a very important research domain now a days. Artificial Neural Network , coupled with Data mining , is a very exciting field ...sector, Neural ... See full document

... same patient to such extent that they are unlike each other and at same time alike for different types of ...probabilistic neural network ...PNN using various feature ...classification ... See full document

... the neural network. For this a 2-3-1 size, back propagation neural network is ...trained network is used for predicting geometrical parameters for new testing patterns given in Table ... See full document

... perspectives. Further, districts have been classified into four level of development depending upon the values of the principal component as well as Neural Network from 32 indicators considered in ... See full document

... Segmentation is the most important step in any image processing algorithm. Segmentation process aims to give only the desired part from the entire image. In this case it partitions the leukaemia cells from the rest of ... See full document

... Cancer Using Artificial Neural Network approach namely, Back propagation network ...MRI using GLCM method, these extracted features are given as input to artificial ... See full document

... and neural network for stock trading prediction is developed and it includes three different stages: 1) screening out potential stocks and the important influen- tial factors; 2) using back ... See full document

... by using a global threshold method applied on a green channel color ...is further process to identify its morphology either normal or abnormal by using geometrical properties and Artificial ... See full document

... Namely, during the material flow from the die cavity, the width of the forged part’s flash constantly increases unlike its decreasing thickness. With respect to the given dimensions of the forged part’s flash, the ... See full document

... introduced Artificial Neural Networks (ANN) which is capable of simplifying the programming effort and algorithm design used in conventional ...areas using soft computing methodologies which ... See full document

... by using back propagation neural ...market. Using this information we may set the initial price of the products such that the sellers no need to initialize the product prices while using our ... See full document

... facility network, right from generation through transmission to distribution ...grid network for cover of conductor, generator protection, motor protection, real time fault location, protection of bus bar ... See full document

... of neural network into two phases: training phase and price determination ...our network with a set of training ...our network with the corresponding input values (Input ij ) from ... See full document

... Failure load prediction of single lap adhesive joints using artificial neural networks. Aydın, An artificial neural network model for predicting compression strength of heat [r] ... See full document

... Neural networks have proved themselves as proficient classifiers and are particularly well suited for addressing non-linear problems. Given the non-linear nature of real world phenomena, like Enhancing the ... See full document

... The proposed structured of the survey is a three layer architecture. First is the input layer which receives input from the segmented character images of standard size. Second layer is a hidden layer, this layer is use ... See full document

... Tamer Khatib et al (2012) presented a global solar energy estimation method using artificial neural networks (ANNs). This prediction was based on collected data from 28 sites in Malaysia. The ... See full document

... A problem of personal verification and identification is an actively growing area of research. Face, Voice, Lip Movements, Hand geometry, Odors, Gait, Iris, Retina, Fingerprint are the most commonly used authentication ... See full document

... of neural network algorithm has been done to save time for parameter selection and to optimize network training in order to increase the performance of spam detection, and to evaluate the performance ... See full document