A weak factory stereo has also been a Wrangler hallmark, and while this versions isn't awful, it's also nothing special and it's getting on in years. Upgrading some parts of the stereo system in these off-roaders is relatively simple, while there are a couple of areas that require some good old American DIY ingenuity.
But Creating The System Required A Few Hacks And A Dash Of Ingenuity
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In 2002, Jeep introduced a 7-speaker system, consisting of a 4" woofer and 1" tweeter on each side of the underdash, the two 5-1/4" speakers in the sound bar, and a 6-3/4" powered sub in the center console.
With either system, you can install aftermarket 4" or 4"x6" speakers in the dash locations. These speakers are easy to get to, as you only have to take out 4 screws to remove the grille and speaker. Replacing them will require mounting brackets and harnesses, of course, and they're available at a discount with your Crutchfield speaker purchase.
With a little bit of work, you can also get a 4" component system in the dash, but the speakers face down at a slight angle, so you won't get the full benefits of the separate tweeter unless you custom-mount it elsewhere.
Like most bartending trends, clarification has its roots firmly in the kitchen, but is tied deeply to drinking history. These days, modern technology and a dash of ingenuity have combined to push clarification from its humble beginnings to the heights of modern molecular mixology.
Not all water is suitable for use as an irrigation source. Prior to implementing an irrigation system, the water source should be tested for water quality. The instructions for testing and the testing results may be obtained from the Texas AgriLife Extension Service or an independent water lab. The results of the test will determine if the water is suitable for irrigation or reveal if any special tactics will be required to overcome quality deficiencies.
Jürgen Schmidhuber's formal theory of creativity[147][148] postulates that creativity, curiosity, and interestingness are by-products of a simple computational principle for measuring and optimizing learning progress. Consider an agent able to manipulate its environment and thus its own sensory inputs. The agent can use a black box optimization method such as reinforcement learning to learn (through informed trial and error) sequences of actions that maximize the expected sum of its future reward signals. There are extrinsic reward signals for achieving externally given goals, such as finding food when hungry. But Schmidhuber's objective function to be maximized also includes an additional, intrinsic term to model "wow-effects". This non-standard term motivates purely creative behavior of the agent even when there are no external goals. A wow-effect is formally defined as follows. As the agent is creating and predicting and encoding the continually growing history of actions and sensory inputs, it keeps improving the predictor or encoder, which can be implemented as an artificial neural network or some other machine learning device that can exploit regularities in the data to improve its performance over time. The improvements can be measured precisely, by computing the difference in computational costs (storage size, number of required synapses, errors, time) needed to encode new observations before and after learning. This difference depends on the encoder's present subjective knowledge, which changes over time, but the theory formally takes this into account. The cost difference measures the strength of the present "wow-effect" due to sudden improvements in data compression or computational speed. It becomes an intrinsic reward signal for the action selector. The objective function thus motivates the action optimizer to create action sequences causing more wow-effects. Irregular, random data (or noise) do not permit any wow-effects or learning progress, and thus are "boring" by nature (providing no reward). Already known and predictable regularities also are boring. Temporarily interesting are only the initially unknown, novel, regular patterns in both actions and observations. This motivates the agent to perform continual, open-ended, active, creative exploration. Schmidhuber's work is highly influential in intrinsic motivation which has emerged as a research topic in its own right as part of the study of artificial intelligence and robotics. 2ff7e9595c
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