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Papers tagged with "Artificial Neural Networks"
A Comprehensive Review On Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
A Comprehensive Review On Contemporary Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
PREDICTION OF SMART CONCRETE PROPERTIES USING AI TECHNIQUES
Smart Concrete Is Transforming Construction By Combining Self-sensing And Self-healing Characteristics, Allowing For Real-time Structural Health Monitoring. However, Because Of Different Material Compositions And Environmental Conditions, I...
A Study On Predicting House Prices With Deep Learning: An Evaluation Of Advanced Neural Network Models
Everyone Dreams Of Owning A Home That Aligns With Their Lifestyle And Meets Their Unique Needs, Including Essential Amenities. Factors Like Area, Location, And Views Play A Major Role In Determining The Price Of A House. However, Predicting...
AUTOENCODER BASED CHURN PREDICTION IN TELCOM USING MACHINE LEARNING
Customer Churn Prediction Is A Critical Challenge In The Telecom Industry, Where Retaining Existing Customers Is More Cost-effective Than Acquiring New Ones. This Paper Explores The Development Of A Churn Prediction Model Using Machine Lear...
A SURVEY AND INVESTIGATION OF DIFFERENT MACHINE LEARNING TECHNIQUES FOR FORECASTING STOCK TRENDS
The Stock Prices Depend Both On Time As Well As Associated Variables And Finding Patterns In Among The Variables Aid Forecasting Future Stock Prices Which Is Often Termed As Stock Market Forecasting. Stock Market Prediction Extremely Challe...
AN OPTIMIZED METHOD FOR SKIN CANCER DIAGNOSIS USING MODIFIED THERMAL EXCHANGE OPTIMIZATION ALGORITHM
The Most Lethal And Prevalent Kind Of Cancer In Humans Is Now Understood To Be Skin Cancer. The Early Detection Of Several Distinct Forms Of Skin Cancer Is Possible. With Correct Feature Extraction And Selection From The Picture (including...
APPLICATION OF NEURAL NETWORKS
Recently Neural Networks Have Won Many Contests In Machine Learning And Pattern Recognition. This Paper Will Highlight Applications Of Neural Networks And Its Importance In Digital Era. Also We Will Highlight Advantages And Disadvantages Al...
ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD FORECASTING AT KASOL IN THE RIVER SATLUJ, INDIA
Flood Causes Considerable Damage To Human Lives And Property Almost Every Year. Therefore, Flood Forecasting & Warning Has Been Recognized As The Most Important, Reliable And Cost Effective Non-structural Measures For Flood Mitigation. One...
SURVEY ON HANDWRITTEN CHARACTER RECOGNITION USING MACHINE LEARNING
Handwritten Character Detection Has Been A Challenge And Fascinating Task With Regards To The Area Of Machine Learning. The Domain Of Artificial Neural Networks Has A Stretched History Of Several Decades, Where The Theoretical Contributions...
stock market prediction using lstm
Stock Market Prediction Is A Software Model To Analyze Trends In Stock Market And Predict Their Values In The Near Future. In A Economically Volatile Market Like Stock Market, It Is Necessary To Predict Future Trends. It Is Important To...
DESIGN OF VEDIC MULTIPLIER BY USING NEURAL NETWORK TECHNOLOGY & MAC
An Artificial Neural Network (ANN) Is Parallel Information Processing Structure Consists Of Processing Units. The Processing Unit Decides While The Network Is Efficient Or Not. So It Is Needed To Design An Efficient Processing Unit Which Pr...
INTRUSION DETECTION USING ARTIFICIAL AND HIERARCHICAL NEURAL NETWORKS
Intrusion Detection Systems (IDSs) Provide An Important Layer Of Security For Computer Systems And Networks, And Are Becoming More And More Necessary As Reliance On Internet Services Increases And Systems With Sensitive Data Are More Common...
A NOVEL APPROACH FOR FAULT ANALYSIS IN ELECTRICAL TRANSMISSIONS LINE USING NEURAL NETWORK
This Paper Focuses On Detecting And Classifying The Faults On Electric Power Transmission Lines. Fault Detection, Fault Classification And Fault Location Have Been Achieved By Using Artificial Neural Networks. Feed Forward Networks Have Bee...
CRITICAL REVIEW ON APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN THE MECHANICAL ENGINEERING
Artificial Neural Network May Probably Be The Single Most Successful Technology In The Last Two Decades Which Has Been Widely Used In A Large Variety Of Applications In Various Areas. An Artificial Neural Network, Often Called A Neural Netw...