Questions tagged [topology]

For questions involving topology in any form in relation to Artificial Intelligence.

Filter by
Sorted by
Tagged with
1
vote
0answers
18 views

Genetic algorithm generation of fuzzy rules with artificial network adjustment of fuzzy probabilities

Are there any working AI system designs or theory to support a system where an artificial network is trained to to adjust fuzzy probabilities and modify the parameters of a genetic algorithm that ...
13
votes
2answers
161 views

Are Modular Neural Networks more effective than large, monolithic networks at any tasks?

Modular/Multiple Neural networks (MNNs) revolve around training smaller, independent networks that can feed into each other or another higher network. In principle, the hierarchical organization ...
1
vote
0answers
51 views

zonal or template ocr invoices reading

I'd like to explore the possibilities of applying artificial intelligence to ocr reading. Basic ocr invoices processing let me convert 30% of them only. Main pourpose is defining invoices areas by ...
1
vote
0answers
28 views

Recognition and Response Generalizations for Autonomous Vehicles or Not?

It is said that the number of possible sequences of game play in the game Go is greater than the number of atoms in the universe. Whether or not that is true, imagine the number of possible sequences ...
2
votes
1answer
85 views

Is a calculus or ML approach to varying learning rate as a function of loss and epoch been investigated?

Many have examined the idea of modifying learning rate at discrete times during the training of an artificial network using conventional back propagation. The goals of such work have been a balance ...
5
votes
1answer
179 views

Neural networks of arbitrary/general topology?

Usually neural networks consist from layers, but is there research effort that tries to investigate more general topologies for connections among neurals, e.g. arbitrary directed acyclic graphs (DAGs)....
1
vote
1answer
81 views

How can AI be used to more reliably analyze and plan around the tie between climate and emissions?

Note to the Duplicate Police This question is not a duplicate of the Q&A thread referenced in the close request. The only text even remotely related in that other thread is the brief mention of ...
6
votes
3answers
2k views

Can neuro-evolution of augmenting topologies (NEAT) neural networks be built in TensorFlow?

I am making a machine learning program for time series data analysis and using NEAT could help the work. I started to learn TensorFlow not long ago but it seems that the computational graphs in ...
8
votes
1answer
166 views

Deep Networks and generalisation of Hopfield Networks

Hopfield Nets are able to store a vector and retrieve it starting from a noisy version of it. They do so setting weights in order to minimise the energy function when all neurons are set equal the ...
9
votes
2answers
452 views

Is topological sophistication necessary to the furtherance of AI?

The current machine learning trend is interpreted by some new to the disciplines of AI as meaning that MLPs, CNNs, and RNNs can exhibit human intelligence. It is true that these orthogonal structures ...
7
votes
2answers
200 views

In what ways is the term “topology” applied to Artificial Intelligence?

I have a only a general understanding of General Topology, and want to understand the scope of the term "topology" in relation to the field of Artificial Intelligence. In what ways are topological ...
4
votes
1answer
601 views

Will attention based networks prevail over RNN and LSTM?

There is no point in picking one of the growing number of articles that come up in a web search for, "Deep learning attention networks," however the bold claims in Attention Is All You Need, Ashish ...
4
votes
1answer
94 views

What topologies support recognition of action sequences?

The ability to recognize an object with particular identifying features from single or multiple camera shoots with the temporal dimension digitized as frames has been shown. The proof is that the ...
1
vote
0answers
40 views

Is anyone working on officiated team intelligence or anything like it?

The artificial intelligence topology that does not appear in the machine learning literature to my knowledge is that of officiated teams or round robins of them. The paradigm is a proven one in the ...
1
vote
0answers
64 views

Steps recognition

What AI concepts, topologies1, algorithms, or SaaS can be used to recognize a person eating a chocolate. For this question, image recognition draws from a real time feed, validating each of these ...
9
votes
2answers
723 views

What topologies are largely unexplored in machine learning?

Geometry and AI Matrices, cubes, layers, stacks, and hierarchies are what we could accurately call topologies. Consider topology in this context the higher level geometrical design of a learning ...
3
votes
1answer
288 views

Finding goals in Hierarchical Reinforcement Learning

In a recent paper Data-Efficient Hierarchical Reinforcement Learning, O Nachum, S Gu, H Lee, S Levine, 2018, a promising agent controlling technique called Hierarchical Reinforcement Learning was ...
13
votes
3answers
1k views

How are Artificial Neural Networks and the Biological Neural Networks similar and different?

I've heard multiple times that "Neural Networks are the best approximation we have to model the human brain", and I think it is commonly known that Neural Networks are modelled after our brain. I ...
0
votes
1answer
156 views

How to evaluate output of unlayered NN?

I used to work with 'traditional' layered neural network and I evaluated the output given certain inputs by processing layer-by-layer. With NEAT, a neural network may assume any topology and they are ...
4
votes
1answer
139 views

Framework for Joining Multiple Modular Artificial Neural Networks

I'm looking for an industry standard framework for joining multiple neural networks in a modular way. Assume we have two or more neural networks trained to perform certain tasks. By feeding the ...
6
votes
4answers
241 views

What are some information processing models besides feedforward or multi-layered neural networks?

Feedforward or multilayered neural networks, like the one in the image above, are usually characterized by the fact that all weighted connections can be represented as a continuous real number. ...
13
votes
2answers
565 views

How can I automate the choice of the topology of a neural network for an arbitrary problem?

Assume that I want to solve an issue with a neural network that either I can't fit to already existing topologies (perceptron, Konohen, etc) or I'm simply not aware of the existence of those or I'm ...
3
votes
2answers
61 views

Is there a way to define the boundaries of the optimal size of a training set?

At a related question in Computer Science SE, a user told: Neural networks typically require a large training set. Is there a way to define the boundaries of the "optimal" size of a training set ...
1
vote
0answers
102 views

Number of input variables for a cellular automaton (was: Squares or hexagonal?)

A cellular automaton is a state machine which is controlled by external input. The input is given by geometrical space around a cell. In a square matrix, each automaton gets input from 4 surrounding ...