Questions tagged [matlab]

For questions related to the use of the MATLAB language or framework for AI work or study.

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0answers
23 views

How can I recognise possibly overlapping line segments in 2D?

I am given a 2-dimensional picture (black & white, white background) and it is assumed that there are some 'sticks' (basically 'thick lines' with different widths and lengths) that are (mostly) ...
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1answer
41 views

How can I test my trained network on the next unavailable hour?

I have data of 695 hours. I use the first 694 hours to train the network and I use 695th hour to validate it. Now my goal is to predict the next hour. How I can use my trained network to predict the ...
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0answers
13 views

evolutionary programming for economic load dispatch

i am a new beginner to EP algorithm.Could someone help me with a coding for economic load dispatch using EP? Can i have some examples to learn? Tq
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0answers
14 views

What is interval of the initial weights at Matlab neural network tool?

What is interval of the initial weights at Matlab neural network tool?Yes I know it is randomly but are there limitation?
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2answers
1k views

RTX 2060 vs GTX 1060 6GB for deep learning

First of all I don't play games at all and I still quite new to deep learning.I was using Alex-net(transfer learning actually) in MATLAB to classify images in my current laptop(i5-3230,without any GPU)...
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0answers
52 views

Difficulties to implement the layer-wise relevance propagation in MATLAB

I'm having serious issues with the implementation of the LRP algorithm for neural networks in MATLAB. The challenge is to implement the equations correctly. I'm trying to implement the deep-Taylor $\...
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0answers
165 views

Deep Learning for radio signal classification with DeepSig dataset

I want to see if I can make my Software Defined Radio, SDR, to classify unknown radio signals with the help of an artificial neural network. That is, my SDR outputs a sequence of complex numbers (IQ-...
1
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1answer
63 views

Is it possible to use a trained neural network to predict a feature, given other features and output?

I have a neural network that is already trained to predict two continuous outputs from a set of 7 continuous features. Is there any way to apply the network to predict one of the input features, ...
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0answers
25 views

Evaluating Utility of Incremental RAM

The Nvidia 2080 GPUs command a $500 premium for 3GB of incremental RAM (8GB -> 11GB). What are the relevant questions and thought process to determine the incremental improvement by moving from the ...
1
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1answer
84 views

How do I segment each part of a DICOM image?

As I'm beginner in image processing, I am having difficulty in segmenting all the parts in DICOM image. Currently, I'm applying watershed algorithm, but it segments only that part that has tumour. ...
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1answer
102 views

How image segmentation actually works?

I'm currently working on tumor detection project using dicom images as I'm beginner in it currently having a difficulty in segmenting each part in image and giving each segment a new colour.
6
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3answers
179 views

How to use computer vision to find corners of a soccer field based on location coordinates?

I want to use computer vision to allow my robot to detect the corners of a soccer field based on its current position. Matlab has a detectHarrisFeatures feature, but I believe it is only for 2D ...
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1answer
93 views

Is it a valid Deep Neural Network?

For a regression task, I have sequences of training data and if I define the layers of deep neural network to be: Layers=[ sequenceInputLayer(featuredimension) reluLayer dropoutLayer(0.05) ...
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0answers
20 views

Multivariate Wavelet denoising problem

I use Matlab function "wmulden" to obtain a denoised data and I realised that when I add only one data-step to previous data and I recalculate the denoised series all denoised data is changed even if ...
2
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0answers
173 views

Extracting specific features using HOG

I am using HOG (Histogram of Oriented Gradients) for car detection from a video. I have used the Matlab function extractHOGFeatures() , it has given me a feature ...
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0answers
669 views

Forecasting and predict using matlab Artificial Neural Network [closed]

I selected the below data set for forecast and predict using artificial neural network as my final year project. https://archive.ics.uci.edu/ml/datasets/Bank+Marketing. I normalized the data set and ...
2
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1answer
299 views

confusion matrix is useful to be applied to the result of fuzzy c means clustering or not

After obtaining the result of algorithm fuzzy c means on the iris flower data set. Results are to be checked for their correctness. So, how to derive it in matlab. I mean code for that. please suggest....
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1answer
524 views

Reinforcement learning for robotic motion planning - Problem statement ideas

I am a first-semester grad student in Robotics and have taken a course on machine learning for robotics. I am completely new to machine learning. I am to select and execute a problem statement on my ...
2
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1answer
813 views

How can I use a trained CNN to predict a new image label?

I was applying this CNN fine-tuning example from Matlab. The example shows how to fine-tune a pre-trained CNN on letters to classify images of digits. Now I would like to use this new fine-tuned CNN ...
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2answers
1k views

Is it possible to classify data using a genetic algorithm?

Is it possible to classify data using a genetic algorithm? For example, would it be possible to sort this database? Any example in Matlab?
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0answers
496 views

Image segmentation using SOM

I tried the below Matlab code to build SOM using selforgmap. ...
6
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1answer
704 views

Is a Sobel filter for edge detection a type of Cellular Neural Network?

I have implemented a Sobel filter for edge detection in Matlab without using its toolbox. I am a bit confused: Is a Sobel filter a type of Cellular Neural Network? Both Sobel and Cellular Neural ...