It is important to consider temporal changes as well as spatial differences in ecological studies. Temporal changes can be effectively elucidated by modeling using temporal neural networks. Different characteristics are observed in temporal patterns and static patterns. A static pattern is viewed as a random point in an ^-dimensional space, whereas a temporal sequence, as a function of time, must be order sensitive. Therefore, memoryless networks used in static networks are inadequate for temporal pattern recognition, because time must play a prominent role. The temporal model should be chosen to adequately show temporal characteristics. Temporal artifical neural networks (ANNs) can be placed into two categories, supervised and unsupervised temporal networks, based on their learning algorithms.

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10 Ways To Fight Off Cancer

10 Ways To Fight Off Cancer

Learning About 10 Ways Fight Off Cancer Can Have Amazing Benefits For Your Life The Best Tips On How To Keep This Killer At Bay Discovering that you or a loved one has cancer can be utterly terrifying. All the same, once you comprehend the causes of cancer and learn how to reverse those causes, you or your loved one may have more than a fighting chance of beating out cancer.

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