Jason
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How can genetic programming be used in the context of auto-encoders?
1 votes

The first classic paper your present uses a genetic algorithm (GA), while you mention genetic programming (GP). In short, a GA uses an evolutionary process to evolve a fixed-length vector, normally a ...

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Suitable reward function for trading buy and sell orders
9 votes

Generally researchers (Ghandar et al, Michalewicz, Lam) have used the profit or return on investment (ROI) as a reward (fitness) function. $ROI = \frac{ \left[\sum_{t=1}^T (Price_t - sc) \times I_s(t) ...

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How to use Genetic Algorithm for varying lengths of solutions
1 votes

Before I answer your question, it is important to frame what a GA is, so please allow me to cover some history. Friedman and Fraser performed some of the earliest evolutionary computation experiments....

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For some reasons, a reward becomes a penalty if
1 votes

I would use the proposed fitness function defined in your other StackExchange question. I would then inflate the buying price used in the equation by \$100, and leave the selling price as the price ...

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How do I combine two electromagnetic readings to predict the position of a sensor?
1 votes

Model input: 1 mean scaled input for each emitter 1 distance value for each distance Multiple input You mentioned there is noise. If the noise is constant, ie you test it in place A and the values ...

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How can I systematically learn about the theory of neural networks?
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1 votes

Good question, there is a lot of work in that field. The first part before saying which machine learning algorithm is better and why is defining the problem. Is the problem an optimisation, ...

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Label arrangement for custom Keras image generator
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0 votes

I am not allowed to comment, so I am adding it here. Not sure I understand, are you asking if the training data must be ordered? If so, training data must be random, and not AaBbCc or ABCabc. Here ...

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In speech recognition, what kind of signal is used?
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Not sure I understand what you mean by signal. However, incoming audio must be cleaned and processed for a machine to understand. Some people speak faster and others slower. First thing is to sample ...

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Using an 'operation ID' as a neural network input
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Great question. The operational ID is actually a category, or categorical input. Each category requires its own input signal into the neural network. Each signal is actually an activation which is ...

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Is it possible to separately evolve a part of the population?
1 votes

The island model and niching mentioned by NietzscheanAI are well known ways to isolate populations. However, the populations are not really isolated as individuals migrate from one population to the ...

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How do randomly initialized neural networks behave?
4 votes

The output of randomly initialised neural networks will be random. I am not sure if I understand your question correctly but I would like to try and explain what OpenAI is trying to achieve with their ...

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