Can anyone help regarding the results in neural network prediction?

More Ghazaleh Baghbani's questions See All

How can I measure MMP-1 protein activity or protein level from liver tissue?

Instead of checking only the mRNA level, I want to check the active protein level of MMP-1 in Liver tissue from mice. How can I do that?

03 March 2021 1,763 2 View

Binary Logistic Generalized Linear Mixed model in SPSS. Is it doable?

I want to analyses the proportion of swimming sperm of three species of fish in two salinities. To analyse the proportion of swimming sperm in a Generalized Linear Model, I would use a Binary...

03 March 2021 2,297 3 View

Looking for Materials with high thermal expansion coefficient and high temperature resistance?

03 March 2021 8,272 1 View

Guidelines for survey (question type) analysis?

Hi. Please tell me what guidelines should i need to follow for questionaries' type research work in India. It is not hospital based work, we are conduction basic institutional based qualitative...

03 March 2021 2,037 3 View

What are the values needed for gabor filter's parameter for cifar10 data?

Hi, I implemented a code to gabor filter cifar10 data but the images after being filtered and stacked are not clear like the original images. I think the problem is in the way I am using the...

03 March 2021 6,317 1 View

Can we block unwanted images during the x-ray prediction?

i am try to classify the x-ray images. During classification , can i block unwanted images (except x-ray image).

03 March 2021 7,100 1 View

No title

03 March 2021 5,360 2 View

What techniques can I use to determine the miscibility of polymer blends?

The term miscibility refers to the single-phase state in thermodynamics. I do not mean the compatibility of different components. To determine the miscibility I know several techniques such as...

03 March 2021 4,107 4 View

Sample dilution for quantitative analysis using ELISA?

If the detection range is in ng/ml but the reference range is in ug/ml for a molecule or protein in serum or plasma .how to dilute and what is the initial volume to be taken for quantitative analysis

02 March 2021 7,670 3 View

The procedure compute?

02 March 2021 5,204 3 View

What is the most Operating System (OS) which can be INSTALL on Tiny hard devices like Raspberry Pi (RPi) hardware ?

I'm targeting to deploy a mesh network and manually configure MANET routing protocols. I'm preparing scenarios, architectures, and hard devices needed to do that. Are there some step-by-step...

03 March 2021 1,931 5 View

Is there a powerful system for the security of the systems distributed on IoT systems?

02 March 2021 3,858 10 View

How to choose ANN number of hidden layers and nodes?

Hello, Could you please share any interesting research explaining how to choose the number of hidden layers and nodes per layer in case of regression problems using ANN? Thank you, any help would...

01 March 2021 6,200 3 View

Unknown debris sheets observed in cell culture flasks?

Hi, We culture neural progenitor cells in T175 culture flasks coated with PLO-Laminin. We have successfully grown these cells with our protocol for months. Recently, we observed large sheets...

25 February 2021 3,443 4 View

How to sample data to increase presence of solar panels in the images?

I am working on creating deep neural network on geospatial dataset and wanted to know how to do the sampling so that I can increase the presence of solar panels in the images. I cannot use entire...

25 February 2021 3,936 6 View

Satellite orbit estimation using Recurrent Neural Network - what should I use?

Hello, I am a master's student studying in Yonsei Univeristy, Korea. I am trying to estimate the state of satellite, using Neural Network. Below is a simple flow of my study. 1. Train (t0 ~ t1)...

23 February 2021 6,383 3 View

Any methods to train a neural network with random (stochastic) and non-measurable variable?

Dear scholars, I was wondering if there are any scientific methods to train a neural network or ANFIS when one of the input variables is stochastic (random) and more importantly non-measurable?...

17 February 2021 1,909 3 View

Does anyone know what are the pros and cons for using autoencoders instead of CNNs for features extraction in neural networks?

Are there papers that talk about the possible advantages and disadvantages of using autoencoders instead of CNNs for feature extraction in neural network?

15 February 2021 6,952 3 View

What are the popular techniques for pre-processing measurement data in Smart Grid/Power System?

The data collected from various measurement devices often contains erroneous values - such as noise, missing values, etc. What are the popular techniques for pre-processing measurement data in...

14 February 2021 4,642 2 View

What are backpropagation formulas for residual neural networks?

14 February 2021 4,194 3 View

Min Shi

I think something wrong in your code. It is better to debug your ANN code step by step and compare the output of each neuron with the output you calculate manually to see where the problem is.

Vinay Chandwani

This is due to non availability of data pertaining to real life phenomenon carrying some amount of noise or ambiguity.

Ghazaleh Baghbani

thanks, if i understand correctly,it is due to the noise. So how can i solve the problem?

another point is that, the nnet function stops after 2 iteration and returns the convergence. Does it relate to the prediction problem?

Cam you briefly explain the problem. If the Ann is stopping early it means that the inputs and outputs are well related and you may use regression analysis for solving such problem as neural networks are nothing but nonlinear statistical tools.

Thank you Vinay, I have 7 input variables and 1 output variable. I want to use neural network to predict the output variable. I performed nnet function in R. the code and the response is such as below:

net

Why you have soo huge initial weight value? Have you normalize your input values of your ANN to be in some rang, for example between [0-1] or [0-100], and then initial smaller value of weights, for example [-10,10]. That might be helpful.

Thanks a lot Min, It was a good point. but i have 4 dummy variables such as salery.day.effect, off.day.effect, week.dat and work.day. can i normalized them either?

Yes, it is better to normalize all input variables if the range of their values are large.

sorry, i did not get it. You mean, i should normalize just the variables with large values or all of them ( including dummy variables)? and i should normalize each column of variables?

MATLAB HAS INBUILT FUNCTIONS FOR NORMALIZATION OF DATA. BUT THAT WOULD NOT DO ANY GOOD BECAUSE YOUR TRAINING DATA IS SIMILAR TO TESTING DATA, HENCE R=1. TRY USING RANDOMIZED DATA AND SEE THE RESULTS.