Neural network

Abstract:The objective of the project is to diagnose a child with learning disability and provide appropriate study material. The model will first classify a child as learning disabled or non- learning disabled based on certain assessment parameters. Once diagnosed with learning disability, the child is further classified into different types of learning disability like dyslexia, dysgraphia,dyscalculia and dysphasia. The model not only detects the type but also will identify the level of…

artificial intelligence The artificial intelligence is one of branches in the computer science which is used in many application especially application of technology as it is the way that the machine or the computer or any application used to make its creation and creativity and help the application to take decisions like humans so it is used in making games, toys, computers, in the internet where the searching engines and absolutely in robotics. AI researchers and textbooks define the field of…

engineering investigations, researchers were used some new mathematical approaches such as fuzzy logic (Ercanoglu & Gokceoglu 2002; Kanungo et al. 2008; Pradhan 2010, 2011; Pourghasemi et al. 2012; Regmi et al. 2013; Zhu et al. 2014(, artificial neural networks (Ermini et al. 2005; Kanungo et al. 2006; Melchiorre et al. 2008; Yilmaz 2009, 2010; Pradhan & lee 2010; Poudyal et al. 2010; Pradhan & Buchroithner 2010; Zare et al. 2012; Tien Bui et al. 2012; Salarian et al. 2014; Conforti et al.…

Neural Networks are networks made of simulated neurons and neuron layers designed to process and evaluate data. Simulated neurons are individual receptors that receive inputs. After receiving an input the neurons process and evaluate it. Following their evaluation of the input the neurons send an output to another simulated neuron in the next neuron layer. Neuron layers are layers of simulated neurons. The simulated neurons are grouped by what type of input they receive and output they produce.…

known as Neural Networks. There have been many other cases like ours that have used Random Forest. Nantian Huang, Guobo Lu and Dianguo Xu have been one of the many who have used Random Forest and succeeded. In their paper, “A permutation importance based feature selection method for short term electricity load forecasting using Random Forest,” they talk about how they got load forecast through predictions. Load Forecast, is the planning, operating and scheduling of traditional power networks.…

The network takes as input a 32×32 raw image that represents a letter or a number and it is able to efficiently detect which letter or number is represented in the image. This model outperformed almost every other machine learning model on this task at that time and it popularised the use of deep convolutional neural networks. 6 Introduction 1.4 Low-density lipoprotein As the current project deals with the application…

Abstract— Bag of words model (BOW),which was originally used for document classification has been introduced to computer vision field recently and used in object recognition successfully. The bag of words model to the face recognition which can robustly give excellent performance in recognizing the face under various conditions like illumination, pose variation ,facial expression and occlusions. The scale Invariant Feature Transform is used for extracting the features from the face and SVM…

and repoting software,Digital dashboards,Data mining,Data warehouse,Business activity monitoring. Research areas Research areas for Artificial Intelligence are Expert systems,Neural networks Natural language processing,Fuzzy logic,Robotics. Research areas for Business Intelligence include Data mining in social networks,process analytics,Bigdata,OLAP Issues Artificial Intelligence faces three issues.They are Threat to Privacy,Threat to Human dignity,Threat to safety. Business Intelligence…

The ontogenesis of machines into sentient beings is a direct consequence of the machine’s ability to learn, react and adapt to the changes in its environment. My goal is to use machine learning and artificial intelligence to create perceptive systems and solutions that are scalable, replicable and sustainable. My decision to study machine learning and AI is a culmination of my experience in a multitude of fields. My tryst with computers began in high school when we were asked to develop software…

Introduction Artificial Intelligence (AI) is the science and engineering of making computer machines able to perform tasks which normally require human intelligence, such as visual perception, speech recognition, and translation between languages. AI is the area of computer science focusing on creating machines that can engage on behaviors that humans consider intelligent. It is the branch of computer science that aims to create intelligent machines. Artificial intelligence is the simulation of…