Simple Java Project Topics

Simple Java Project Topics is one of the most beautiful platforms for students who have the interest to study simple Java programming. Our Java experts have the True Knowledge in all technological fields and who can work in any kind of application servers, components databases, frameworks, libraries and technologies. Over the past few decades, we delivered 2000+ Simple Java Projects by the only source of our experience and knowledge. Our expert’s teach you from the beginning of Java and goes deeper into advanced programming topics that help you to use advanced Java concepts for your final year academic projects. Our Simple Java Project Topics covers the following areas:

Generic Programming
JDBC Database Programming
Java Swing for GUI Development
Advanced I/O Classes
Java Graphics using Eclipse
Searching and Sorting
Exception Handling
Network Programming
Sequential and Associative Data Structures
Java Web Applications using Servlets
Java Applets
Classic Data Structures
Associative and Sequential Data Structures

Simple Java Project Topics

Simple Java Project Topics explores day by day for providing only quality products for our clients across the world. Our Simple Java Project Topics service is provide highly interesting and exciting topics for students. New projects are being developed under the various research domains such as Hadoop, Internet of Things, Big Data Analytics, Data Mining, Sensor Networks, etc. Now, you have the wonderful opportunity to work with our experts for getting knowledge to explore your future. Currently, we working on areas related to Soft Computing in Java programming. Soft computing is really innovative and ever growing research field.

Some Popular Soft Computing Paradigms include:

Fuzzy computing

-Neuro Fuzzy System

-Adaptive Neuro Fuzzy System

-Coactive Neuro Fuzzy System

Neural computing

-Neural Networks

-Artificial Neural Networks

3. Probabilistic reasoning

-Naïve Bayesian

-Bayesian Network

Evolutionary computing

-Genetic Algorithm

-Bio-inspired Programming

-Harmony Search

Chaotic systems and theory
Swarm intelligence

-Ant Swarm Intelligence

-Particle Swarm Intelligence

-Glowworm Swarm Optimization

-Artificial Bee Colony optimization

-Spider Monkey Optimization

Application Domains of Soft Computing:

Smart systems
Big Data
Semantic Web
Cloud Computing
Sustainable Development
Dynamic Processes
Soft Computing for Communications
Intelligent Agents
Web Document Processing
Image Analysis
Handwritten Character Recognition

/* Sample Java Code for Neurofuzzy Classification*/

import java.util.Random;

import hr.fer.zemris.nenr.lab2.dataset.Dataset;

import hr.fer.zemris.nenr.lab2.function.F1;

import hr.fer.zemris.nenr.lab2.function.IFunction;

import hr.fer.zemris.nenr.lab2.network.*;

public class Anfis {

public static void main(String[] args) {

//Constants

int RULES = 9;

//0.002 INITIAL MU

//0.006 BIG MU

//0.00002 SMALL MU

double η = 0.002;

int minDomain = -4;

int maxDomain = 4;

IFunction function = new F1();

Dataset dataset = new Dataset(minDomain, maxDomain, function);

//Fuzzy-neural network

//OnlineGradientDescent / OfflineGradientDescent

IFuzzyNeuralNetwork network = new OnlineGradientDescent(RULES, η, new Random());

//Network learning

network.learnNetworkEpoch(dataset.getTrainingSet(), 15000);

//network.learnNetworkRules(dataset.getTrainingSet(), 10, 15, 20000);

//network.writeLearnedParams2File();

network.writeRelativeError2File(dataset.getValidationSet(new Random(), 100000));

//network.writeEpochError2File(dataset.getTrainingSet(), 15000);

//Network validation

//network.validateLearned(dataset.getTrainingSet());

}