The human brain is extremely complex, so much so that we still don’t understand it’s full capacity and capabilities. A neural network is defined as “a computer model designed to simulate the behavior of biological neural networks, as in pattern recognition, language processing, and problem solving, with the goal of self-directed information processing.” (source: dictionary.com). When this concept is applied to business, the potential is limitless.
Supply Chain Evolution
When it comes specifically to forecasting supply chain logistics and demand, Recurrent Neural Networks (RNNs) may hold the key. Jeff Burt of nextplatform.com stated research in Europe identified the ability of RNNs to address data changes over time (called temporal dependence) and potential applications across many different industries. “RNNs are a more flexible model, since it encodes the temporal context in its feedback connections. RNNs and their variants have been used in many contexts where the temporal dependency in the data is an important implicit feature in the model design.” (source: nexplatform.com)
The use of intuitive elements continue to grow across different industries, and the better incorporated into businesses they can be; this will help facilitate improved function and growth. 6fusion empowers businesses to become more transparent with their operations and take better control of how they move forward. Learn more about how we can help your business today.
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