Questions tagged [matlab]

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

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25 views

MIMO model on Matlab [closed]

What's the code to generate MIMO bits for Matlab simulation. MIMO is Multi Input multi output channel in wireless communication
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0answers
20 views

How can I adapt this script (to test the robustness of a perceptron) to test the robustness of a multi-layer perceptron?

The following script is from Trappenberg's Fundamentals of Computational Neuroscience and is used to test a perceptron's robustness against noise. However, how would one alter it to test the output ...
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2answers
39 views

How can I train a neural network if I don't have enough data?

I have created a neural network that is able to recognize images with the numbers 1-5. The issue is that I have a database of 16x5 images which ,unfortunately, is not proving enough as the neural ...
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1answer
62 views

Is my backpropagation code correct? [closed]

I am trying to implement the back-propagation algorithm for the following neural network. ...
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41 views

Policy Gradient Reward Oscillation in MATLAB

I'm trying to train a Policy Gradient Agent with Baseline for my RL research. I'm using the in-built RL toolbox from MATLAB (https://www.mathworks.com/help/reinforcement-learning/ug/pg-agents.html) ...
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0answers
20 views

Is it possible to convert Neural Network code in Python into Matlab code? [closed]

I want to convert the code written in Python into Matlab code. May I know is it possible to do that. Share the available ways or methods to do the conversion. May I know is there any Online ...
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0answers
40 views

Why would my neural network run faster on my laptop than on my university's supercomputer?

I am trying to get my neural network running on my university's supercomputer in order to decrease its runtime (not for training, for testing - feedforward runs only). However, the Matlab function I ...
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2answers
123 views

Is it possible to train a neural network with 3 inputs and 12 outputs?

The selection of experimental data includes a set of vectors of different dimensions. The input is a 3-dimensional vector, and the output is a 12-dimensional vector. The sample size is 120 pairs of ...
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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
43 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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16 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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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
3k 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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123 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
301 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-...
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1answer
70 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
27 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 ...
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1answer
94 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
104 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.
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3answers
227 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
99 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
22 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 ...
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0answers
189 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
740 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 ...
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1answer
326 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
548 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 ...
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1answer
829 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
2k 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
531 views

Image segmentation using SOM

I tried the below Matlab code to build SOM using selforgmap. ...
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1answer
773 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 ...