Solving a Shallow Neural Network Curve Fitting Problem using Matlab

#free #matlab #microgrid #tutorial #electricvehicle #predictions #project Modeling & Analysis of Artificial Neural Network & Fuzzy Logic Systems
Using Matlab

1) Introduction to Neural Networks | Matlab Based Approach
2) Artificial Neural Network Tools Using Matlab_nftool
3) NARX Neural Network Time Series Prediction and modeling Using Matlab
4) NARX _Prediction of Pollution Load for Next 6 Months

5) Shallow Neural Network Time Series prediction and modeling using Matlab
6) Solving a Shallow Neural Network Curve Fitting Problem using Matlab
7) Pattern Recognition and classification tool for Artificial Neural Network Using Matlab
9) Solve a Clustering Problem with a Self-Organizing Map (SOM) Networks
11) Design and Simulate Fuzzy Logic Systems Using Matlab

Function Fitting is the process of training a neural network on a set of inputs in order to produce an associated set of target outputs

In Fitting Problems, you want a neural network to map between a data set of numeric inputs and set of numeric targets

The standard network that is used for Function fitting is a two layer feed forward network, with a sigmoid transfer function in the hidden layer, and a Linear transfer function in the output layer