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Neural network to control prosthesis
What is Unity? There is no attached code. "indice" is undefined 30 dual channel signals 5 features per channel ...

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getting error "Undefined function or method 'logistic' for input arguments of type 'double'.""
If you have the Neural Network Toolbox just use LOGSIG or TANSIG otherwise, just use TANH. Also see Subject: NEUR...

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how to maximize one of the output and minimize the other output of gamultiobj?
Multiply one by a minus sign. Then maximize both. Hope this helps. *Thank you for formally accepting my answer* Greg...

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NARX Neural network prediction?
See my answer in the NEWSGOUP Subject: Feedforward net lagged output From: Greg Heath Date: 28 Jun, 2015 15:17:03 M...

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Problem getting adapt to work with my existing NARXNET: “Number of inputs does not match net.numInputs”
If you have a trained net (e.g., narxnet(ID,FD,H) ) with maxlag = max(ID,FD), you cannot get a result for a new sequence that is...

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What is the search range of a hidden layer size in a regression task?
[ I N ] = size(x) [ O N ] = size(t) Ntrn = N - 2*round(0.15)*N) % default Ntrneq = Ntrn*O % No of training equations...

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Machine learning for peak characterisation
I am only familiar with the latter, so I cannot compare. If noisy data peaks thwart your feature detection, preprocess with a...

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Do I need to convert my data to sequence before using Elman neural network.
Yes.

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Back Propagation Accuracy improvement
Why aren't you using the classification nets patternnet(special form of feedforwardnet) or newpr (special form of newff) with o...

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How to keep ANN training result stable?
The variations tend to come from 1. The random number seed (I like rng(4151941)) 2. The random division of data 3. The r...

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how to calculate the output of neural network manually using input data and weights.
When I-dimensional "I"nput x and O-dimensional "O"utput target t are normalized via the default mapminmax (or mapstd),the relati...

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In neural network, how to specify initial bias according to the known initial weight?
Insufficient Information. How did you get your current weights? All initial weights and biases should be random. F...

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target and input matrix in Neural network (ANN)
For good generalization to unseen data: For each class the number of samples should exceed the number of input features by a ...

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Why 'net.IW{1,1}' will return negative value and smaller value like -0.0090, 0.2447, and so on.
[ 10 3 ] = size(IW) Do not worry about the size or sign of a single weight in a single design. Typically, it is almost imposs...

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How do you make a prediction (forecast) from a trained network for a given input using NARX?
The time series is described by a difference equation. Therefore, it should not surprise you that you need to prescribe the init...

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Strange neural network output
Just modify the following close all, clear all, clc, tic [ x, t ] = simplefit_dataset; [ I N ] = size(x), [O N ] = size(t...

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how to forecast with nonlinear autoregressive neural networks
This is a highly auto-correlated series. You can get good results with with 1 delay and NO hidden layer : net = narNET(1,[])...

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Problem getting adapt to work with my existing NARXNET: “Number of inputs does not match net.numInputs”
You have to use preparets to determine the syntax of the input, target, input delay and feedback delay. Those are the inputs to ...

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NaN in Neural network training and simulation; tonndata
Do not refer to NaN as " No value ". It stands for "Not a Number" and is just referred to as NaN pronounced as en-ay-en. c...

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how to get confusion matrix when neural network toolbox is used?
Feedforwardnet is a generic net that NEVER has to be called directly. Use fitnet for regression/curvefitting and use patternn...

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Good performance, poor output with NARNET
I'm really surprised by these posts. Just within the past year or so I've posted several times regarding 1. How to identify ...

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What is the Normalized MSE algorithm for the NN performance?
The purpose of a regression or curve-fitting net is, given the input signal variations, to model the corresponding target variat...

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Neural network predicting impossible values
If you must have normalized outputs in the range [-1,1], Replace the default output transfer function of PURELIN with TANSIG...

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NN NARX Basic question
The output will be different because it depends on previous outputs and inputs in addition to the current input. Hope this he...

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training the neural network and then maximising the outputs using genetic algorithm
Corrections: 1. Use x, t and y to represent input, target and output, respectively. 2. Your inputs and targets are incomp...

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how to write a code for fitness function(i don't have the exact fitness function but have the training data)?
So far, the problem is ill-posed because " for which both the outputs y1 and y2 are maximum " doesn't make sense. There is no...

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Good performance, poor output with NARNET
None of these results are acceptable. A good goal is NMSE << 1. For example, 0.005 or 0.01.

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How can I add layers to a neural network in MATLAB ANN toolbox?
net = fitnet([H1 H2 H3]); However, why in the world would you want to complicate an already universal approximator by adding...

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If possible in neural networks turn off automatic data normalization?
Or course. You can change any default that you want. [ x,t] = simplefit_dataset; Now, what do you see when you enter each ...

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what type of input is given for ANN (neural network)?
The MFCCs should be the inputs. For c classes the corresponding target columns should be columns of the unit matrix eye(c). The ...

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