I am new in neural networks and I need to determine the pattern among a given set of inputs and outputs. So how do I decide which neural network to use for training or even which learning method to use? I have little idea about the pattern or relation between the given input and outputs.

Any sort of help will be appreciated. If you want me to read some stuff then it would be great if links are provided.

If any more info is needed plz say so.

Thanks.

Choosing the right neural networks is something of an art form. It's a bit difficult to give generic suggestions as the best NN for a situation will depend on the problem at hand. As with many of these problems neural netowrks may or may not be the best solution. I'd highly recommned trying out different networks and testing their performance vs a testing data set. When I did this I usually used the ANN tools though the R software package.

Also keep your mind open to other statistical learning techniques as well, things like decision trees and Support Vector Machines may be a better choice for some problems.

I'd suggest the following books:

http://www.amazon.com/Neural-Networks-Pattern-Recognition-Christopher/dp/0198538642

Similar Questions

Tomorrow morning I have to give neural network final exam, but there is a problem, I cannot solve XOR problem with MLP, I don't know how to assign weights and bias values :(

So we've been using node for quite a while now and I must say, with the growing community for node, people are developing lots of awesome modules and frameworks too. But as we are working on more and

I am new to neural networks and, to get grip on the matter, I have implemented a basic feed-forward MLP which I currently train through back-propagation. I am aware that there are more sophisticated a

I am using an external library for Artificial Neural Networks in my project.. While testing the ANN, It gave me output of all NaN (not a number in C#) The ANN has 8 input , 5 hidden , 5 hidden , 2 ou

I'm working on implementing a neural network for a class project and I was just wondering if it is possible to do multiclass classification with a neural network without using softmax? When I asked th

We are developing a neural network for Checkers game. In our training data, 0 represents blank cell, 1 represents white piece, -1 represents white king, 2 represents black piece and -2 represents blac

I need to convert a shapefile (ESRI) of roads type SpatialLinesDataFrame in a neural network in R. I do not know how to remove nodes or vertices of the shape. Determine the length of each edge between

I've tried to rewrite neural network found here to javascript. My javascript code looks like this. function NeuralFactor(weight) { var self = this; this.weight = weight; this.delta = 0; } function Sig

I am a beginner in neural networks. I want to implement the Kohonen network. I found the framework AForg.Net (library for neural network) but I don't know haw to use it to get results.

I have searched n googled everything possible related to this but did not quite find anything concrete. How can i determine if the option USE NETWORK PROVIDED VALUES in the date/time settings is check

I'm developing a distributedsystem in which a plan to use a neural network for sales prediction. A small description of the system: the system combine the workflow of modules such as Pharmacy, Patient

I'm using the AForge library framework and its neural network. At the moment when I train my network I create lots of images (one image per letter per font) at a big size (30 pt), cut out the actual l

Basically i know the concept of a neural network and what it is, but i can't figure out how it looks when you code it or how do you store the data, i went through many tutorials that i found on google

I've read about neural network a little while ago and I understand how an ANN (especially a multilayer perceptron that learns via backpropagation) can learn to classify an event as true or false. I th

I got a neural network that is meant to do backpropagation. I've been using the following for weight update on the hidden layer Δwji = η × δj × yi where δj is φ'(vj) * ej where vj = Σi wjiyi, and for

I am trying to implement a neural network in java (small one) and I'm using back propogation for the learning algorithm. This requires to find general derivatives. How do I find general derivatives in

How might I create a C# program to decide how, say, sad a person is? Do you think it might work just to pick out depressed words, or would that not go far enough? I could use a neural network if nee

I'm trying to test the efficiency of the Neural Networks as approximation functions. The function I need to approximate has 5 inputs and 1 output, which structure should I use? I have no idea on what

Can anyone recommend a good open-source .NET neural network library? Thanks!

i'm working on a project dealing with character recognition using artificial neural network, I need to train my neural network object 'net', dynamically, based on the training set I have. The problem

I tried to write a Neural Network system, but even running through simple AND/OR/NOR type problems, the outputs seem to group around 0.5 (for a bias of -1) and 0.7 (for a bias of 1). It doesn't look e

Background: I am trying to use MATLAB's Neural Network toolbox to predict future values of data. I run it from the GUI, but I have also included the output code below. Problem: My predicted values lag

What is difference between SVM and Neural Network? Is it true that linear svm is same NN, and for non-linear separable problems, NN uses adding hidden layers and SVM uses changing space dimensions?

I'm planning of implementing a document ranker which uses neural networks. How can one rate a document by taking in to consideration the ratings of similar articles?. Any good python libraries for doi

I trained a neural network using the MATLAB Neural Network Toolbox, and in particular using the command nprtool, which provides a simple GUI to use the toolbox features, and to export a net object con

Been wondering are there any ways to measure the learning performance of ANNs. Thanks for any replies.

I have trained xor neural network in Matlab and got these weights: iw: [-2.162 2.1706; 2.1565 -2.1688] lw: [-3.9174 -3.9183] b{1} [2.001; 2.0033] b{2} [3.8093] Just from curiosity I have tried to wri

Is there any package or other software to plot neural network models from the nnet package cran. I trained a neural network model (3 inputs and 1 output) using nnet and Rattle: crs$nnet <- nnet(as.

I'm trying to use OpenCV's Neural Network: ANN::ANN() { // 4 rows and 1 col with the type of 32 bits short. CvMat* neural_layers = cvCreateMat(4, 1, CV_32SC1); cvSet1D(neural_layers, 0, cvScalar(2));

I am using feedforward, backpropagation, multilayer neural network and I am using sigmoid function as a activation function which is having range of -1 to 1. But the minimum error is not going below 5

I'm starting neural networks, currently following mostly D. Kriesel's tutorial. Right off the beginning it introduces at least three (different?) learning rules (Hebbian, delta rule, backpropagation)

I have studies Neural Networks and understood how it's work. generally, all the examples I have seen talking about transforming the values of the inputs to boolean values and to create vector of weigh

I'm working on creating a 2 layer neural network with back-propagation. The NN is supposed to get its data from a 20001x17 vector that holds following information in each row: -The first 16 cells hold

I'm learning Neural Networks from this bytefish machine learning guide and code. I understand it well but I would like to update the code at the previous link to use image pixel data instead of random

I'm having problem training a neural network for image classification. Basing it on the performance of the NN, it doesn't seem to be learning. I basically run the given program in encog-examples (Imag

I have a long training run that I am trying to do using train() in the MATLAB Neural Network toolbox. I would like very much to be able to restart it from a checkpoint file and so I have read the docu

I'm looking for some downloadable weather data i can use to train a neural network to do forecasting, where can i find some? Basically things like temperature, humidity, wind speed/direction, anything

Does anyone know how to emulate an Expert Systems using Neural Networks? An example of this is the 20q.net website. I'm more curious to how the network would be designed; ie how many inputs, what the

I want to use SURF feature for Neural Network from Opencv. I have successfully extracted features and created a nn. But, the point where I am stocked is for every images I get varying length of featur

I want to mimic computer memory with jeff heaton's encog neural network library. I just don't know what approach to use. My requirement is to, have a memory location and a collection of bytes for the

I am using this WebCrawler class http://phpcrawl.cuab.de. There is a method named setTmpFile() http://phpcrawl.cuab.de/classreference.html#settmpfile. I want to know that how can I use this method?

I was looking at the knights tour problem and decided to have a go at implementing it in python using a neural network to find solutions. The general explanation of the method can be found on Wikipedi

variable input is a jagged array, i.e. 90 x 600. ideal is also jagged array of 90 x 1 BeginTraining() { FeedforwardNetwork network = new FeedforwardNetwork(); network.AddLayer(new FeedforwardLayer(600

I develop app by using Lua Glider 2 + Corona SDK latest release. How can I find which version of Lua do it use? Thank you.

maybe, this is general question, i dont know. But i am working neural network and i dont understand somethings on Essence of Neural Networks book. Classifiying Pattern Clustering Patterns Patte

Do I need to master Hadoop before learning Mahout? How far I can go (in order to use data mining feature) without learning Hadoop ?

I am using the jQuery not() method to hide option elements in the second select list if the class is not the same as the class of the option selected in the first select list. Here is my jQuery code

Well, long story short, I was bored and decided to try to learn about Neural networks. I have been doing C# for a year and now that I am learning Swift, I preferred to continue with that language, and

I'm a tad confused here. I just started on the subject of Neural Networks and the first one I constructed used the Step-Activation with thresholds on each neuron. Now I wan't to implement the sigmoid

I have read several articles on this site, and several books about Handlers, Threads, HandlerThreads, Services, SyncAdapters, ContentProviders and on and on. There seems like a lot of different option