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Churchill White Papers

Churchill is often asked about the technologies behind our products and services.  At other times, we are asked about the strategic challenges of implementing and maintaining demand intelligence systems. For popular topics, we publish related White Papers. Note:  Our White Papers are always brief and written to communicate, not to advance the science.

Demand Forecasting & The Seasonality Factor – Harve C. Light

Five Requirements For A Successful AI-based Retail Forecasting System - Harve Light

Solving The Mystery Of Neural Networks - Suzanne M. Rodriguez, PhD

Expert Systems Technology - Henry P. Brasza

Validating A Forecasting Neural Network - Suzanne M. Rodriguez, PhD

Constraint-Based Systems - Ronald M. Shapiro

Fuzzy Logic Technology - Suzanne M. Rodriguez, PhD

Genetic Algorithms - Michael J. Cavaretta, PhD

Understanding Data Mining - Michael J. Cavaretta, PhD

Decision Trees - Michael J. Cavaretta, PhD

Benefits Of Using Neural Networks In P&PDF - Henry P. Brasza

Short Life Cycle Demand Forecasting - Henry P. Brasza & Brenda McKnight

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