Concepts of Metaheuristics

Can you provide me a feedback on the following tutorial ? How to optimize with the help of the Particle Swarm Optimization(PSO) Technique and xlOptimizer ? This brief tutorial will help you to solve any optimization problem with the application of Particle Swarm Optimization Method and xl addin : xlOptimizer. After a brief introduction about PSO the tutorial show you the steps that you will need to follow for application of PSO in optimization even if you do not know any programming with the help of xlOptimizer.(Some basic knowledge of MS Excel 2010 and later is required). Introduction to particle swarm optimization from Mrinmoy Majumder

Types of Neural Networks :  There are two different types of neural network based on the learning mechanism - Supervised and Unsupervised Neural Networks where in case of the former a desired dataset is provided("teacher") with which the model predicted data is compared to find level of accuracy of the model.The Unsupervised neural network will try to identify the inherent properties(data mining) of the input dataset with the help of different unsupervised learning methods. Based on the signal transmission through the neural networks,neural network models can be divided into three distinct classes : Feed forward - where the signal is transmitted only in the forward direction(Input-Hidden-Output); Feedback - a feedback or error correction signal is transmitted back to the source so that deviation from the desired data is actuated and Recurrent - signal is transmitted both ways.Recurrent Neural Networks can use their internal memory to process a...